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Best Machine Learning Software for Medium-Sized Businesses

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

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.

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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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6 Listings in Machine Learning Available
(590)4.3 out of 5
5th Easiest To Use in Machine Learning software
View top Consulting Services for Vertex AI
Save to My Lists
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, a

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% 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
    164
    Model Variety
    124
    Features
    116
    Machine Learning
    115
    Integrations
    86
    Cons
    Expensive
    71
    Learning Curve
    49
    Complexity
    47
    Complexity Issues
    44
    Performance Issues
    37
  • 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
    8.2
    Ease of Use
    Average: 8.4
    8.1
    Quality of Support
    Average: 8.4
    7.9
    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
    32,731,192 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    316,397 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, a

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% 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
164
Model Variety
124
Features
116
Machine Learning
115
Integrations
86
Cons
Expensive
71
Learning Curve
49
Complexity
47
Complexity Issues
44
Performance Issues
37
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
8.2
Ease of Use
Average: 8.4
8.1
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,731,192 Twitter followers
LinkedIn® Page
www.linkedin.com
316,397 employees on LinkedIn®
(121)4.4 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
    • 37% Small-Business
    • 34% Enterprise
  • 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
    Features
    16
    Intuitive
    16
    AI Development
    15
    Cons
    Improvement Needed
    17
    Expensive
    13
    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
    8.8
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.7
    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
    714,504 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    328,966 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
  • 37% Small-Business
  • 34% Enterprise
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
Features
16
Intuitive
16
AI Development
15
Cons
Improvement Needed
17
Expensive
13
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
8.8
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
714,504 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®

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(585)4.3 out of 5
6th 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
    • Student
    • Statistical Programmer
    Industries
    • Pharmaceuticals
    • Higher Education
    Market Segment
    • 34% Small-Business
    • 32% Enterprise
    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 cloud-based analytics tool that supports multiple programming languages and offers data integration, data preparation, AI/ML solutions, and dashboard design capabilities.
    • Reviewers like the tool's ability to handle large datasets quickly, its integration of advanced analytics, AI, and machine learning into a single platform, and its cloud-native architecture that provides flexibility, scalability, and easy collaboration across teams.
    • Users mentioned that the initial setup and configuration can be complex, especially for organizations new to the platform, and some advanced features require significant technical expertise, making the learning curve steep for new users.
  • 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
    184
    Features
    128
    Analytics
    111
    Data Analysis
    85
    Learning
    80
    Cons
    Learning Curve
    88
    Learning Difficulty
    88
    Complexity
    78
    Difficult Learning
    67
    Expensive
    63
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.7
    8.1
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,782 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,025 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
  • Student
  • Statistical Programmer
Industries
  • Pharmaceuticals
  • Higher Education
Market Segment
  • 34% Small-Business
  • 32% Enterprise
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 cloud-based analytics tool that supports multiple programming languages and offers data integration, data preparation, AI/ML solutions, and dashboard design capabilities.
  • Reviewers like the tool's ability to handle large datasets quickly, its integration of advanced analytics, AI, and machine learning into a single platform, and its cloud-native architecture that provides flexibility, scalability, and easy collaboration across teams.
  • Users mentioned that the initial setup and configuration can be complex, especially for organizations new to the platform, and some advanced features require significant technical expertise, making the learning curve steep for new users.
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
184
Features
128
Analytics
111
Data Analysis
85
Learning
80
Cons
Learning Curve
88
Learning Difficulty
88
Complexity
78
Difficult Learning
67
Expensive
63
SAS Viya features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.7
8.1
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
7.5
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,782 Twitter followers
LinkedIn® Page
www.linkedin.com
18,025 employees on LinkedIn®
(59)4.8 out of 5
2nd Easiest To Use in Machine Learning software
View top Consulting Services for scikit-learn
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  • 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
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @scikit_learn
    23,166 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
Year Founded
2018
HQ Location
N/A
Twitter
@scikit_learn
23,166 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(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
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,236,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 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
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,236,464 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(214)4.6 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

    Users
    No information available
    Industries
    • Automotive
    • Manufacturing
    Market Segment
    • 48% Enterprise
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Minitab Statistical Software 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
    Data Analysis
    44
    Statistical Analysis
    33
    Analysis Capabilities
    27
    Analysis
    26
    Cons
    Learning Curve
    18
    Expensive
    16
    Not User-Friendly
    12
    Complexity
    9
    Learning Difficulty
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Minitab Statistical Software features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Minitab
    Company Website
    Year Founded
    1972
    HQ Location
    State College, Pennsylvania, United States
    Twitter
    @Minitab
    5,060 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    697 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

Users
No information available
Industries
  • Automotive
  • Manufacturing
Market Segment
  • 48% Enterprise
  • 31% Mid-Market
Minitab Statistical Software 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
Data Analysis
44
Statistical Analysis
33
Analysis Capabilities
27
Analysis
26
Cons
Learning Curve
18
Expensive
16
Not User-Friendly
12
Complexity
9
Learning Difficulty
9
Minitab Statistical Software features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.6
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Minitab
Company Website
Year Founded
1972
HQ Location
State College, Pennsylvania, United States
Twitter
@Minitab
5,060 Twitter followers
LinkedIn® Page
www.linkedin.com
697 employees on LinkedIn®