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Best Enterprise Big Data Analytics Software

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Big Data Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Big Data Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Big Data Analytics category.

In addition to qualifying for inclusion in the Big Data Analytics Software category, to qualify for inclusion in the Enterprise Business Big Data Analytics Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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17 Listings in Enterprise Big Data Analytics Software Available

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Google Cloud BigQuery
(1,146)4.5 out of 5
4th Easiest To Use in Big Data Analytics software
View top Consulting Services for Google Cloud BigQuery
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    282
    Speed
    160
    Fast Querying
    156
    Querying
    146
    Scalability
    137
    Cons
    Expensive
    137
    Query Issues
    122
    Learning Curve
    83
    Cost Management
    76
    Cost Issues
    72
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,750,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 32% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
282
Speed
160
Fast Querying
156
Querying
146
Scalability
137
Cons
Expensive
137
Query Issues
122
Learning Curve
83
Cost Management
76
Cost Issues
72
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
8.7
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.3
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,750,646 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
Databricks Data Intelligence Platform
(608)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in Big Data Analytics software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    205
    Features
    203
    Integrations
    138
    Easy Integrations
    116
    Data Management
    114
    Cons
    Learning Curve
    68
    Steep Learning Curve
    66
    Expensive
    59
    Missing Features
    54
    UX Improvement
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.8
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    79,305 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11,628 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 37% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
205
Features
203
Integrations
138
Easy Integrations
116
Data Management
114
Cons
Learning Curve
68
Steep Learning Curve
66
Expensive
59
Missing Features
54
UX Improvement
45
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.8
Data Workflow
Average: 8.3
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
79,305 Twitter followers
LinkedIn® Page
www.linkedin.com
11,628 employees on LinkedIn®

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Snowflake
(624)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics software
View top Consulting Services for Snowflake
Save to My Lists
Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    85
    Features
    53
    Scalability
    46
    Data Management
    42
    Integrations
    41
    Cons
    Expensive
    42
    Feature Limitations
    21
    Cost Management
    20
    Cost
    19
    Poor UI Design
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.1
    Multi-Source Analysis
    Average: 8.4
    9.3
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,985 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 42% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
85
Features
53
Scalability
46
Data Management
42
Integrations
41
Cons
Expensive
42
Feature Limitations
21
Cost Management
20
Cost
19
Poor UI Design
18
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.1
Multi-Source Analysis
Average: 8.4
9.3
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.3
Seller Details
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
65 Twitter followers
LinkedIn® Page
www.linkedin.com
9,985 employees on LinkedIn®
Alteryx
(637)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Alteryx is an analysis tool that is used to explore and manipulate data, connect to various databases, and automate workflows.
    • Users frequently mention the tool's user-friendly interface, its ability to connect to different databases and cloud systems, and its data blending capability from multiple sources.
    • Users reported that the tool is costly for small enterprises, has limited visualization features, and sometimes causes workflow slowdown when handling large real-time transactions.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    142
    Automation
    55
    Intuitive
    51
    Easy Learning
    44
    Ease of Learning
    42
    Cons
    Learning Curve
    40
    Expensive
    33
    Learning Difficulty
    26
    Complexity
    18
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Alteryx features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,492 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,323 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Alteryx is an analysis tool that is used to explore and manipulate data, connect to various databases, and automate workflows.
  • Users frequently mention the tool's user-friendly interface, its ability to connect to different databases and cloud systems, and its data blending capability from multiple sources.
  • Users reported that the tool is costly for small enterprises, has limited visualization features, and sometimes causes workflow slowdown when handling large real-time transactions.
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
142
Automation
55
Intuitive
51
Easy Learning
44
Ease of Learning
42
Cons
Learning Curve
40
Expensive
33
Learning Difficulty
26
Complexity
18
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.3
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,492 Twitter followers
LinkedIn® Page
www.linkedin.com
2,323 employees on LinkedIn®
Azure Databricks
(218)4.5 out of 5
9th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Azure Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Features
    7
    Integrations
    6
    Interface Ease-of-Use
    6
    Analytics
    5
    Cons
    Expensive
    7
    Poor Customer Support
    3
    Cloud Dependency
    2
    Learning Curve
    2
    Unclear Pricing
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    234,872 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 26% Small-Business
Azure Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Features
7
Integrations
6
Interface Ease-of-Use
6
Analytics
5
Cons
Expensive
7
Poor Customer Support
3
Cloud Dependency
2
Learning Curve
2
Unclear Pricing
2
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
234,872 employees on LinkedIn®
Ownership
MSFT
Read Azure Databricks Reviews
Dataiku
(175)4.4 out of 5
7th Easiest To Use in Big Data Analytics software
View top Consulting Services for Dataiku
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 62% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a data science platform that allows both technical and non-technical users to build, deploy, and manage AI projects collaboratively, covering the entire lifecycle of a data project from data ingestion and preparation to model deployment and monitoring.
    • Users like Dataiku's user-friendly interface, its ability to handle big data sets, its seamless integration with various databases, cloud platforms, and machine learning libraries, and its robust model management tools for tracking model performance and ensuring compliance.
    • Users reported issues with Dataiku's learning curve for non-technical stakeholders, its real-time analytics capabilities, performance issues at scale, and inconsistencies in how code is executed in different parts of the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Dataiku Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    78
    Ease of Use
    75
    Usability
    42
    Productivity Improvement
    41
    Easy Integrations
    39
    Cons
    Learning Curve
    39
    Steep Learning Curve
    24
    Slow Performance
    20
    Difficult Learning
    19
    Complexity Issues
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Dataiku features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,955 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,491 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 62% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a data science platform that allows both technical and non-technical users to build, deploy, and manage AI projects collaboratively, covering the entire lifecycle of a data project from data ingestion and preparation to model deployment and monitoring.
  • Users like Dataiku's user-friendly interface, its ability to handle big data sets, its seamless integration with various databases, cloud platforms, and machine learning libraries, and its robust model management tools for tracking model performance and ensuring compliance.
  • Users reported issues with Dataiku's learning curve for non-technical stakeholders, its real-time analytics capabilities, performance issues at scale, and inconsistencies in how code is executed in different parts of the platform.
Dataiku Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
78
Ease of Use
75
Usability
42
Productivity Improvement
41
Easy Integrations
39
Cons
Learning Curve
39
Steep Learning Curve
24
Slow Performance
20
Difficult Learning
19
Complexity Issues
18
Dataiku features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
8.8
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.3
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,955 Twitter followers
LinkedIn® Page
www.linkedin.com
1,491 employees on LinkedIn®
Teradata Vantage
(350)4.3 out of 5
10th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a platform that supports complex data workloads at scale, allowing for large-scale data analysis from different sources and the development of business models.
    • Reviewers appreciate its ability to handle large volumes of data quickly, its stability for reliable and continuous operations, and its integration capabilities with multiple sources for comprehensive analysis.
    • Reviewers noted that some advanced features can be unintuitive and require a steep learning curve, the user interface feels outdated, and initial configuration or integration with cloud services can be complex.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    33
    Performance
    28
    Analytics
    26
    Scalability
    24
    Data Analytics
    22
    Cons
    Learning Curve
    16
    Expensive
    15
    Complexity
    12
    Not User-Friendly
    10
    Poor UI Design
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Teradata Vantage features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.4
    8.2
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,089 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,197 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a platform that supports complex data workloads at scale, allowing for large-scale data analysis from different sources and the development of business models.
  • Reviewers appreciate its ability to handle large volumes of data quickly, its stability for reliable and continuous operations, and its integration capabilities with multiple sources for comprehensive analysis.
  • Reviewers noted that some advanced features can be unintuitive and require a steep learning curve, the user interface feels outdated, and initial configuration or integration with cloud services can be complex.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
33
Performance
28
Analytics
26
Scalability
24
Data Analytics
22
Cons
Learning Curve
16
Expensive
15
Complexity
12
Not User-Friendly
10
Poor UI Design
10
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.4
8.2
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.3
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,089 Twitter followers
LinkedIn® Page
www.linkedin.com
10,197 employees on LinkedIn®
IBM Cloud Pak for Data
(90)4.3 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM Cloud Pak for Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    3
    Analytics
    2
    Data Analytics
    2
    Data Management
    2
    Insights
    2
    Cons
    Complexity
    3
    Complexity Issues
    3
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    328,966 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
3
Analytics
2
Data Analytics
2
Data Management
2
Insights
2
Cons
Complexity
3
Complexity Issues
3
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.1
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.3
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®
Ownership
SWX:IBM
Read IBM Cloud Pak for Data Reviews
Azure Data Lake Analytics
(37)4.2 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Data Lake Analytics features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.4
    8.1
    Real-Time Analytics
    Average: 8.4
    8.5
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    234,872 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Azure Data Lake Analytics features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.4
8.1
Real-Time Analytics
Average: 8.4
8.5
Data Workflow
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
234,872 employees on LinkedIn®
Ownership
MSFT
Read Azure Data Lake Analytics Reviews
Starburst
(88)4.3 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 44% Enterprise
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Starburst Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Fast Querying
    25
    Integrations
    22
    Ease of Use
    21
    Large Datasets
    20
    Query Efficiency
    20
    Cons
    Learning Curve
    16
    Slow Performance
    16
    Difficult Setup
    14
    Query Issues
    14
    Complexity
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Starburst features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Multi-Source Analysis
    Average: 8.4
    8.0
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,445 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    503 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 44% Enterprise
  • 32% Small-Business
Starburst Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Fast Querying
25
Integrations
22
Ease of Use
21
Large Datasets
20
Query Efficiency
20
Cons
Learning Curve
16
Slow Performance
16
Difficult Setup
14
Query Issues
14
Complexity
12
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.8
Multi-Source Analysis
Average: 8.4
8.0
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,445 Twitter followers
LinkedIn® Page
www.linkedin.com
503 employees on LinkedIn®
Dremio
(66)4.6 out of 5
Optimized for quick response
11th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises like Amazon, Unilever, Shell, and S&P Global. Dremio amplifies AI and analytics initiatives by eliminating t

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Dremio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Integrations
    10
    Performance
    7
    Large Datasets
    6
    SQL Support
    6
    Cons
    Difficulty
    5
    Poor Customer Support
    5
    Learning Curve
    4
    Limited Features
    3
    Technical Difficulties
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Dremio features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.3
    Real-Time Analytics
    Average: 8.4
    7.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Dremio
    Company Website
    Year Founded
    2015
    HQ Location
    Santa Clara, California
    Twitter
    @dremio
    5,065 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    376 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises like Amazon, Unilever, Shell, and S&P Global. Dremio amplifies AI and analytics initiatives by eliminating t

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 42% Mid-Market
Dremio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Integrations
10
Performance
7
Large Datasets
6
SQL Support
6
Cons
Difficulty
5
Poor Customer Support
5
Learning Curve
4
Limited Features
3
Technical Difficulties
3
Dremio features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.3
Real-Time Analytics
Average: 8.4
7.2
Data Workflow
Average: 8.3
Seller Details
Seller
Dremio
Company Website
Year Founded
2015
HQ Location
Santa Clara, California
Twitter
@dremio
5,065 Twitter followers
LinkedIn® Page
www.linkedin.com
376 employees on LinkedIn®
MATLAB
(738)4.5 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Users
    • Graduate Research Assistant
    • Student
    Industries
    • Higher Education
    • Research
    Market Segment
    • 43% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Usability
    6
    Features
    5
    Easy Integrations
    4
    Integrations
    4
    Cons
    Expensive
    4
    Difficult Learning
    2
    Heavy Workload Management
    2
    High System Requirements
    2
    Lacking Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • MATLAB features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.4
    Multi-Source Analysis
    Average: 8.4
    8.7
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    100,116 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,802 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a programming, modeling and simulation tool developed by MathWorks.

Users
  • Graduate Research Assistant
  • Student
Industries
  • Higher Education
  • Research
Market Segment
  • 43% Enterprise
  • 30% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Usability
6
Features
5
Easy Integrations
4
Integrations
4
Cons
Expensive
4
Difficult Learning
2
Heavy Workload Management
2
High System Requirements
2
Lacking Features
2
MATLAB features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.4
Multi-Source Analysis
Average: 8.4
8.7
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.3
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,116 Twitter followers
LinkedIn® Page
www.linkedin.com
7,802 employees on LinkedIn®
Read MATLAB Reviews
Confluent
(111)4.4 out of 5
13th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    2
    Deployment Ease
    1
    Documentation
    1
    Ease of Use
    1
    Easy Learning
    1
    Cons
    Cost
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    8.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,213 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,640 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
2
Deployment Ease
1
Documentation
1
Ease of Use
1
Easy Learning
1
Cons
Cost
1
Expensive
1
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.4
8.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,213 Twitter followers
LinkedIn® Page
www.linkedin.com
3,640 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Read Confluent Reviews
Qubole
(259)4.0 out of 5
12th Easiest To Use in Big Data Analytics software
Save to My Lists
Entry Level Price:30 day free trial
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 44% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Qubole features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    8.0
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,595 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.4
8.0
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.3
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,595 Twitter followers
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®
Read Qubole Reviews
DIAdem
(44)4.4 out of 5
Save to My Lists
Entry Level Price:$666.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

    Users
    No information available
    Industries
    • Automotive
    • Mechanical or Industrial Engineering
    Market Segment
    • 43% Small-Business
    • 41% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • DIAdem Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    1
    Features
    1
    Large Datasets
    1
    Performance
    1
    Productivity Improvement
    1
    Cons
    Unclear Pricing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • DIAdem features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.6
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    9.3
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    NI
    Year Founded
    1976
    HQ Location
    Austin, TX
    Twitter
    @NIglobal
    26,583 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,812 employees on LinkedIn®
    Ownership
    NASDAQ: NATI
Product Description
How are these determined?Information
This description is provided by the seller.

DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

Users
No information available
Industries
  • Automotive
  • Mechanical or Industrial Engineering
Market Segment
  • 43% Small-Business
  • 41% Enterprise
DIAdem Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
1
Features
1
Large Datasets
1
Performance
1
Productivity Improvement
1
Cons
Unclear Pricing
1
DIAdem features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.6
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
9.3
Data Workflow
Average: 8.3
Seller Details
Seller
NI
Year Founded
1976
HQ Location
Austin, TX
Twitter
@NIglobal
26,583 Twitter followers
LinkedIn® Page
www.linkedin.com
7,812 employees on LinkedIn®
Ownership
NASDAQ: NATI
Read DIAdem Reviews
Apache Pig
(21)3.9 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

    Users
    No information available
    Industries
    • Computer Software
    • Internet
    Market Segment
    • 62% Enterprise
    • 19% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Apache Pig features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    7.8
    Multi-Source Analysis
    Average: 8.4
    8.3
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    The Apache Software Foundation
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,326 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

Users
No information available
Industries
  • Computer Software
  • Internet
Market Segment
  • 62% Enterprise
  • 19% Mid-Market
Apache Pig features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
7.8
Multi-Source Analysis
Average: 8.4
8.3
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
Seller Details
Seller
The Apache Software Foundation
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,326 employees on LinkedIn®
Read Apache Pig Reviews
Arcadia Enterprise
(15)3.6 out of 5
14th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

    Users
    No information available
    Industries
    • Banking
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Arcadia Enterprise features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 8.8
    7.9
    Multi-Source Analysis
    Average: 8.4
    6.1
    Real-Time Analytics
    Average: 8.4
    6.7
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Arcadia Data
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @arcadiadata
    1,118 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

Users
No information available
Industries
  • Banking
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Arcadia Enterprise features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 8.8
7.9
Multi-Source Analysis
Average: 8.4
6.1
Real-Time Analytics
Average: 8.4
6.7
Data Workflow
Average: 8.3
Seller Details
Seller
Arcadia Data
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@arcadiadata
1,118 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
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