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Best Machine Learning Software for Medium-Sized Businesses

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Machine Learning 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 Machine Learning 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 Machine Learning category.

In addition to qualifying for inclusion in the Machine Learning Software category, to qualify for inclusion in the Medium-Sized Business Machine Learning 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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5 Listings in Machine Learning Available
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    G2 Score
Vertex AI
(572)4.3 out of 5
4th Easiest To Use in Machine Learning software
View top Consulting Services for Vertex AI
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Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Vertex AI 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
    213
    Features
    136
    Model Variety
    134
    Machine Learning
    127
    Integrations
    101
    Cons
    Expensive
    75
    Learning Curve
    56
    Performance Issues
    49
    Complexity Issues
    48
    Complexity
    46
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Vertex AI features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.4
    8.2
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.5
  • 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
    310,061 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Small-Business
  • 33% Enterprise
Vertex AI 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
213
Features
136
Model Variety
134
Machine Learning
127
Integrations
101
Cons
Expensive
75
Learning Curve
56
Performance Issues
49
Complexity Issues
48
Complexity
46
Vertex AI features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.7
8.3
Ease of Use
Average: 8.4
8.2
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.5
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
310,061 employees on LinkedIn®
IBM watsonx.ai
(79)4.5 out of 5
Optimized for quick response
7th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 35% Small-Business
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM watsonx.ai 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
    50
    Model Variety
    20
    Intuitive
    17
    Features
    16
    User Interface
    16
    Cons
    Improvement Needed
    17
    Expensive
    12
    UX Improvement
    12
    Difficult Learning
    10
    Complexity
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    9.1
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    331,391 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 35% Small-Business
  • 34% Mid-Market
IBM watsonx.ai 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
50
Model Variety
20
Intuitive
17
Features
16
User Interface
16
Cons
Improvement Needed
17
Expensive
12
UX Improvement
12
Difficult Learning
10
Complexity
9
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
9.1
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®

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SAS Viya
(481)4.3 out of 5
11th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Statistical Programmer
    • Data Analyst
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 35% Enterprise
    • 32% Small-Business
    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.
    • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
    • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
    • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SAS Viya 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
    185
    Features
    132
    Analytics
    110
    Data Analysis
    85
    Performance Efficiency
    83
    Cons
    Learning Curve
    86
    Learning Difficulty
    83
    Complexity
    79
    Expensive
    64
    Difficult Learning
    63
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.2
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    7.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,528 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Statistical Programmer
  • Data Analyst
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 35% Enterprise
  • 32% Small-Business
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.
  • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
  • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
  • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
SAS Viya 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
185
Features
132
Analytics
110
Data Analysis
85
Performance Efficiency
83
Cons
Learning Curve
86
Learning Difficulty
83
Complexity
79
Expensive
64
Difficult Learning
63
SAS Viya features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 8.7
8.2
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
7.3
Ease of Admin
Average: 8.5
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,528 employees on LinkedIn®
Get a quote
Amazon Forecast
(81)4.3 out of 5
9th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Amazon Forecast 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
    1
    Integrations
    1
    Machine Learning
    1
    Scalability
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Amazon Forecast features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,150 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 31% Mid-Market
Amazon Forecast 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
1
Integrations
1
Machine Learning
1
Scalability
1
Cons
This product has not yet received any negative sentiments.
Amazon Forecast features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
8.5
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,471 Twitter followers
LinkedIn® Page
www.linkedin.com
143,150 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Read Amazon Forecast Reviews
scikit-learn
(59)4.8 out of 5
2nd Easiest To Use in Machine Learning software
View top Consulting Services for scikit-learn
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, rando

    Users
    • Senior Software Engineer
    • Machine Learning Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • scikit-learn features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.7
    9.6
    Ease of Use
    Average: 8.4
    9.4
    Quality of Support
    Average: 8.4
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    scikit-learn
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @scikit_learn
    23,239 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, rando

Users
  • Senior Software Engineer
  • Machine Learning Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% Enterprise
  • 31% Mid-Market
scikit-learn features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.7
9.6
Ease of Use
Average: 8.4
9.4
Quality of Support
Average: 8.4
9.4
Ease of Admin
Average: 8.5
Seller Details
Seller
scikit-learn
Year Founded
2018
HQ Location
N/A
Twitter
@scikit_learn
23,239 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Read scikit-learn Reviews
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5 Listings in Machine Learning Available
  • Sort By:
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