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Best Data Observability Software for Medium-Sized Businesses

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Data Observability category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Data Observability 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 Medium-Sized Business Data Observability category.

In addition to qualifying for inclusion in the Data Observability Software category, to qualify for inclusion in the Medium-Sized Business Data Observability Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized 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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8 Listings in Data Observability Available
(406)4.4 out of 5
5th Easiest To Use in Data Observability software
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 46% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Monte Carlo 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
    163
    Monitoring
    141
    Alerts
    132
    Alerting System
    97
    Customer Support
    87
    Cons
    Alert Management
    70
    Alert Overload
    70
    Inefficient Alert System
    63
    UX Improvement
    61
    Limited Features
    41
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    8.7
    Anomaly identification
    Average: 8.8
    8.1
    Automation
    Average: 8.7
    8.2
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,565 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    519 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 46% Mid-Market
Monte Carlo 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
163
Monitoring
141
Alerts
132
Alerting System
97
Customer Support
87
Cons
Alert Management
70
Alert Overload
70
Inefficient Alert System
63
UX Improvement
61
Limited Features
41
Monte Carlo features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
8.7
Anomaly identification
Average: 8.8
8.1
Automation
Average: 8.7
8.2
Integrations
Average: 8.8
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,565 Twitter followers
LinkedIn® Page
www.linkedin.com
519 employees on LinkedIn®
(113)4.8 out of 5
Optimized for quick response
1st Easiest To Use in Data Observability software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Metaplane is the end-to-end data observability tool that helps data teams know when things break, what went wrong, and how to fix it. Built for the modern data stack, we empower data teams to start mo

    Users
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 65% Mid-Market
    • 23% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Metaplane 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
    25
    Setup Ease
    18
    Easy Setup
    17
    Monitoring
    16
    Customer Support
    15
    Cons
    Alert Management
    9
    Inefficient Alert System
    9
    Noisy Alerts
    8
    Lineage Issues
    6
    Noise Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Metaplane features and usability ratings that predict user satisfaction
    9.3
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.8
    9.1
    Automation
    Average: 8.7
    9.0
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Metaplane
    Company Website
    Year Founded
    2019
    HQ Location
    Boston, US
    Twitter
    @kevinzenghu
    2,093 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Metaplane is the end-to-end data observability tool that helps data teams know when things break, what went wrong, and how to fix it. Built for the modern data stack, we empower data teams to start mo

Users
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 65% Mid-Market
  • 23% Small-Business
Metaplane 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
25
Setup Ease
18
Easy Setup
17
Monitoring
16
Customer Support
15
Cons
Alert Management
9
Inefficient Alert System
9
Noisy Alerts
8
Lineage Issues
6
Noise Issues
5
Metaplane features and usability ratings that predict user satisfaction
9.3
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.8
9.1
Automation
Average: 8.7
9.0
Integrations
Average: 8.8
Seller Details
Seller
Metaplane
Company Website
Year Founded
2019
HQ Location
Boston, US
Twitter
@kevinzenghu
2,093 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®

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(29)4.7 out of 5
Optimized for quick response
4th Easiest To Use in Data Observability software
Save to My Lists
Entry Level Price:$1,250.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahea

    Users
    • Analytics Engineer
    Industries
    • Computer Software
    • Leisure, Travel & Tourism
    Market Segment
    • 93% Mid-Market
    • 3% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SYNQ 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
    Customer Support
    17
    Data Lineage
    17
    Alerting System
    9
    Efficiency Improvement
    9
    Integration Support
    9
    Cons
    UX Improvement
    7
    Data Management
    2
    Complex Setup
    1
    Frequent Updates
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SYNQ features and usability ratings that predict user satisfaction
    9.7
    Ease of Admin
    Average: 8.7
    9.0
    Anomaly identification
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    9.2
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SYNQ
    Company Website
    Year Founded
    2022
    HQ Location
    London, GB
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahea

Users
  • Analytics Engineer
Industries
  • Computer Software
  • Leisure, Travel & Tourism
Market Segment
  • 93% Mid-Market
  • 3% Small-Business
SYNQ 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
Customer Support
17
Data Lineage
17
Alerting System
9
Efficiency Improvement
9
Integration Support
9
Cons
UX Improvement
7
Data Management
2
Complex Setup
1
Frequent Updates
1
Integration Issues
1
SYNQ features and usability ratings that predict user satisfaction
9.7
Ease of Admin
Average: 8.7
9.0
Anomaly identification
Average: 8.8
9.2
Automation
Average: 8.7
9.2
Integrations
Average: 8.8
Seller Details
Seller
SYNQ
Company Website
Year Founded
2022
HQ Location
London, GB
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
(24)4.7 out of 5
Optimized for quick response
3rd Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DQLabs redefines data management with Semantics and GenAI powered Modern Data Quality Platform, empowering organisations to transform raw data into reliable, actionable insights. Our automation-first,

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 79% Mid-Market
    • 13% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DQLabs 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
    Data Quality
    10
    Data Accuracy
    8
    Ease of Use
    7
    Features
    6
    Data Integration
    5
    Cons
    Complexity
    1
    Data Management Issues
    1
    Data Quality
    1
    Learning Difficulty
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DQLabs features and usability ratings that predict user satisfaction
    9.5
    Ease of Admin
    Average: 8.7
    9.4
    Anomaly identification
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.2
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DQLabs
    Company Website
    Year Founded
    2020
    HQ Location
    Pasadena, California
    Twitter
    @DQLABSAI
    249 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    82 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DQLabs redefines data management with Semantics and GenAI powered Modern Data Quality Platform, empowering organisations to transform raw data into reliable, actionable insights. Our automation-first,

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 79% Mid-Market
  • 13% Enterprise
DQLabs 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
Data Quality
10
Data Accuracy
8
Ease of Use
7
Features
6
Data Integration
5
Cons
Complexity
1
Data Management Issues
1
Data Quality
1
Learning Difficulty
1
Limited Customization
1
DQLabs features and usability ratings that predict user satisfaction
9.5
Ease of Admin
Average: 8.7
9.4
Anomaly identification
Average: 8.8
9.7
Automation
Average: 8.7
9.2
Integrations
Average: 8.8
Seller Details
Seller
DQLabs
Company Website
Year Founded
2020
HQ Location
Pasadena, California
Twitter
@DQLABSAI
249 Twitter followers
LinkedIn® Page
www.linkedin.com
82 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Observability, for the Cloud. Monitor everything you run in your cloud without compromising on cost, granularity, or scale.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • groundcover 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
    23
    Monitoring
    11
    User Interface
    11
    Easy Setup
    10
    Insights
    9
    Cons
    UX Improvement
    8
    Data Limitations
    4
    Lack of Features
    4
    Limited Features
    4
    Missing Features
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • groundcover features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 8.7
    9.2
    Anomaly identification
    Average: 8.8
    8.0
    Automation
    Average: 8.7
    9.7
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Tel Aviv, IL
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Observability, for the Cloud. Monitor everything you run in your cloud without compromising on cost, granularity, or scale.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 38% Small-Business
groundcover 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
23
Monitoring
11
User Interface
11
Easy Setup
10
Insights
9
Cons
UX Improvement
8
Data Limitations
4
Lack of Features
4
Limited Features
4
Missing Features
4
groundcover features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 8.7
9.2
Anomaly identification
Average: 8.8
8.0
Automation
Average: 8.7
9.7
Integrations
Average: 8.8
Seller Details
Year Founded
2021
HQ Location
Tel Aviv, IL
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

    Users
    • Software Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Databand 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
    Efficiency Improvement
    8
    Data Quality
    6
    Problem Solving
    5
    Alerting System
    4
    Anomaly Detection
    4
    Cons
    Learning Difficulty
    5
    Complexity
    3
    Limited Features
    3
    UX Improvement
    3
    Expensive
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Databand features and usability ratings that predict user satisfaction
    8.0
    Ease of Admin
    Average: 8.7
    8.3
    Anomaly identification
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    8.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    710,413 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.

Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

Users
  • Software Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Mid-Market
  • 33% Enterprise
IBM Databand 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
Efficiency Improvement
8
Data Quality
6
Problem Solving
5
Alerting System
4
Anomaly Detection
4
Cons
Learning Difficulty
5
Complexity
3
Limited Features
3
UX Improvement
3
Expensive
2
IBM Databand features and usability ratings that predict user satisfaction
8.0
Ease of Admin
Average: 8.7
8.3
Anomaly identification
Average: 8.8
8.2
Automation
Average: 8.7
8.6
Integrations
Average: 8.8
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,413 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®
Ownership
SWX:IBM
(36)4.4 out of 5
Optimized for quick response
9th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 61% Mid-Market
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Sifflet 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
    Data Quality
    8
    Efficiency Improvement
    6
    Monitoring
    6
    Customer Support
    5
    Data Lineage
    5
    Cons
    Lineage Issues
    4
    Alert Management
    2
    Integration Issues
    2
    Access Control
    1
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sifflet features and usability ratings that predict user satisfaction
    8.5
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    7.6
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Sifflet
    Company Website
    Year Founded
    2021
    HQ Location
    Paris, Ile-de-France
    Twitter
    @Siffletdata
    392 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    45 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

Users
No information available
Industries
  • Computer Software
Market Segment
  • 61% Mid-Market
  • 31% Enterprise
Sifflet 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
Data Quality
8
Efficiency Improvement
6
Monitoring
6
Customer Support
5
Data Lineage
5
Cons
Lineage Issues
4
Alert Management
2
Integration Issues
2
Access Control
1
Complex Setup
1
Sifflet features and usability ratings that predict user satisfaction
8.5
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.8
8.3
Automation
Average: 8.7
7.6
Integrations
Average: 8.8
Seller Details
Seller
Sifflet
Company Website
Year Founded
2021
HQ Location
Paris, Ile-de-France
Twitter
@Siffletdata
392 Twitter followers
LinkedIn® Page
www.linkedin.com
45 employees on LinkedIn®
(55)4.4 out of 5
11th Easiest To Use in Data Observability software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Soda 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
    Data Quality
    13
    Ease of Use
    12
    Easy Integrations
    6
    Features
    5
    Flexibility
    5
    Cons
    Limited Functionality
    5
    Data Management Issues
    3
    Dependency Issues
    3
    Integration Issues
    3
    Poor Documentation
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Soda features and usability ratings that predict user satisfaction
    8.6
    Ease of Admin
    Average: 8.7
    8.6
    Anomaly identification
    Average: 8.8
    8.1
    Automation
    Average: 8.7
    8.5
    Integrations
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Soda
    Year Founded
    2018
    HQ Location
    Brussels, BE
    Twitter
    @sodadata
    901 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    110 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Mid-Market
  • 40% Enterprise
Soda 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
Data Quality
13
Ease of Use
12
Easy Integrations
6
Features
5
Flexibility
5
Cons
Limited Functionality
5
Data Management Issues
3
Dependency Issues
3
Integration Issues
3
Poor Documentation
3
Soda features and usability ratings that predict user satisfaction
8.6
Ease of Admin
Average: 8.7
8.6
Anomaly identification
Average: 8.8
8.1
Automation
Average: 8.7
8.5
Integrations
Average: 8.8
Seller Details
Seller
Soda
Year Founded
2018
HQ Location
Brussels, BE
Twitter
@sodadata
901 Twitter followers
LinkedIn® Page
www.linkedin.com
110 employees on LinkedIn®