Best Machine Learning Software for for Small Business

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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, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small Business Machine Learning category.

In addition to qualifying for inclusion in the Machine Learning Software category, to qualify for inclusion in the Small Business Machine Learning Software category, a product must have at least 10 reviews left by a reviewer from a small 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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12 Listings in Small Business Machine Learning Available

(550)4.3 out of 5
4th Easiest To Use in Machine Learning software
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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
    • 34% 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
    204
    Model Variety
    126
    Features
    125
    Machine Learning
    119
    Easy Integrations
    91
    Cons
    Expensive
    65
    Learning Curve
    49
    Performance Issues
    49
    Complexity
    44
    Complexity Issues
    42
  • 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: 8.8
    8.3
    Ease of Use
    Average: 8.4
    8.2
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,691,321 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 34% 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
204
Model Variety
126
Features
125
Machine Learning
119
Easy Integrations
91
Cons
Expensive
65
Learning Curve
49
Performance Issues
49
Complexity
44
Complexity Issues
42
Vertex AI features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.8
8.3
Ease of Use
Average: 8.4
8.2
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,691,321 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(72)4.5 out of 5
Optimized for quick response
6th Easiest To Use in Machine Learning software
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  • 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
    • 36% Small-Business
    • 35% 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
    44
    Intuitive
    15
    Model Variety
    13
    Efficiency
    12
    Features
    12
    Cons
    Improvement Needed
    16
    Performance Issues
    8
    Poor User Interface
    8
    Difficult Learning
    7
    Expensive
    7
  • 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: 8.8
    9.2
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
  • 36% Small-Business
  • 35% 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
44
Intuitive
15
Model Variety
13
Efficiency
12
Features
12
Cons
Improvement Needed
16
Performance Issues
8
Poor User Interface
8
Difficult Learning
7
Expensive
7
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
9.2
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.6
Ease of Admin
Average: 8.6
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,653 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®

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(81)4.3 out of 5
9th Easiest To Use in Machine Learning software
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  • 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
    2
    Scalability
    2
    Accuracy
    1
    Data Analysis
    1
    Integrations
    1
    Cons
    Limited Capacity
    1
    Storage Limitations
    1
  • 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: 8.8
    8.5
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,233,435 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 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
2
Scalability
2
Accuracy
1
Data Analysis
1
Integrations
1
Cons
Limited Capacity
1
Storage Limitations
1
Amazon Forecast features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
8.5
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.6
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,435 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 15% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Jarvis 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
    5
    Productivity Improvement
    5
    AI Technology
    2
    Model Variety
    2
    Customer Support
    1
    Cons
    Inaccuracy
    2
    Poor Interface Design
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Jarvis features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.3
    Ease of Use
    Average: 8.4
    9.0
    Quality of Support
    Average: 8.4
    6.7
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,351,390 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36,197 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 15% Mid-Market
Jarvis 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
5
Productivity Improvement
5
AI Technology
2
Model Variety
2
Customer Support
1
Cons
Inaccuracy
2
Poor Interface Design
1
Jarvis features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.3
Ease of Use
Average: 8.4
9.0
Quality of Support
Average: 8.4
6.7
Ease of Admin
Average: 8.6
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,351,390 Twitter followers
LinkedIn® Page
www.linkedin.com
36,197 employees on LinkedIn®
Ownership
NVDA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or p

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 67% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aerosolve 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
    8
    Customer Support
    2
    Features
    2
    Problem Solving
    2
    Deployment Ease
    1
    Cons
    Slow Speed
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aerosolve features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.4
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Airbnb
    Year Founded
    2007
    HQ Location
    San Francisco, CA
    Twitter
    @Airbnb
    866,619 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    44,632 employees on LinkedIn®
    Ownership
    NASDAQ: ABNB
Product Description
How are these determined?Information
This description is provided by the seller.

Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or p

Users
No information available
Industries
  • Computer Software
Market Segment
  • 67% Small-Business
  • 28% Mid-Market
Aerosolve 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
8
Customer Support
2
Features
2
Problem Solving
2
Deployment Ease
1
Cons
Slow Speed
1
Aerosolve features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.4
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Airbnb
Year Founded
2007
HQ Location
San Francisco, CA
Twitter
@Airbnb
866,619 Twitter followers
LinkedIn® Page
www.linkedin.com
44,632 employees on LinkedIn®
Ownership
NASDAQ: ABNB
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to aut

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 52% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • B2Metric 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
    Productivity Improvement
    18
    Insights
    15
    Results
    12
    Analytics
    11
    Cons
    Learning Curve
    10
    Difficult Learning
    4
    Integration Issues
    3
    Technical Expertise Required
    3
    Complex Implementation
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • B2Metric features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.8
    Ease of Use
    Average: 8.4
    9.7
    Quality of Support
    Average: 8.4
    9.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    B2Metric
    Year Founded
    2018
    HQ Location
    Menlo Park, California
    Twitter
    @B2Metric
    246 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    44 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to aut

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 52% Small-Business
  • 30% Mid-Market
B2Metric 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
Productivity Improvement
18
Insights
15
Results
12
Analytics
11
Cons
Learning Curve
10
Difficult Learning
4
Integration Issues
3
Technical Expertise Required
3
Complex Implementation
2
B2Metric features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.8
Ease of Use
Average: 8.4
9.7
Quality of Support
Average: 8.4
9.8
Ease of Admin
Average: 8.6
Seller Details
Seller
B2Metric
Year Founded
2018
HQ Location
Menlo Park, California
Twitter
@B2Metric
246 Twitter followers
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic R

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AIToolbox 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
    8
    AI Technology
    4
    Features
    3
    Intuitive
    3
    Machine Learning
    3
    Cons
    AI Limitations
    2
    Lagging Issues
    2
    Compatibility Issues
    1
    Complexity
    1
    Dependency Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AIToolbox 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
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    8.7
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AIToolbox
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic R

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 27% Enterprise
AIToolbox 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
8
AI Technology
4
Features
3
Intuitive
3
Machine Learning
3
Cons
AI Limitations
2
Lagging Issues
2
Compatibility Issues
1
Complexity
1
Dependency Issues
1
AIToolbox 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
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
8.7
Ease of Admin
Average: 8.6
Seller Details
Seller
AIToolbox
HQ Location
N/A
(418)4.3 out of 5
13th 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
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Enterprise
    • 32% 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.
    • SAS Viya is a data analysis software that integrates with open-source technologies and provides advanced analytics capabilities.
    • Users frequently mention the software's user-friendly interface, rapid data integration, analysis, and visualization capabilities, and its ability to work seamlessly with existing systems and workflows.
    • Users mentioned that SAS Viya can be expensive, has a steep learning curve, and lacks the flexibility of open-source tools for highly customized solutions.
  • 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
    273
    Features
    172
    Analytics
    138
    Data Analysis
    114
    Performance Efficiency
    110
    Cons
    Learning Curve
    118
    Learning Difficulty
    108
    Complexity
    102
    Difficult Learning
    84
    Expensive
    83
  • 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: 8.8
    8.2
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    7.3
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,199 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 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
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Enterprise
  • 32% 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.
  • SAS Viya is a data analysis software that integrates with open-source technologies and provides advanced analytics capabilities.
  • Users frequently mention the software's user-friendly interface, rapid data integration, analysis, and visualization capabilities, and its ability to work seamlessly with existing systems and workflows.
  • Users mentioned that SAS Viya can be expensive, has a steep learning curve, and lacks the flexibility of open-source tools for highly customized solutions.
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
273
Features
172
Analytics
138
Data Analysis
114
Performance Efficiency
110
Cons
Learning Curve
118
Learning Difficulty
108
Complexity
102
Difficult Learning
84
Expensive
83
SAS Viya features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 8.8
8.2
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
7.3
Ease of Admin
Average: 8.6
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,199 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
(59)4.8 out of 5
2nd Easiest To Use in Machine Learning software
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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: 8.8
    9.6
    Ease of Use
    Average: 8.4
    9.4
    Quality of Support
    Average: 8.4
    9.4
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @scikit_learn
    23,291 Twitter followers
    LinkedIn® Page
    www.linkedin.com
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: 8.8
9.6
Ease of Use
Average: 8.4
9.4
Quality of Support
Average: 8.4
9.4
Ease of Admin
Average: 8.6
Seller Details
Year Founded
2018
HQ Location
N/A
Twitter
@scikit_learn
23,291 Twitter followers
LinkedIn® Page
www.linkedin.com
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai 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
    26
    Model Variety
    25
    Features
    21
    Easy Integrations
    14
    AI Technology
    12
    Cons
    Expensive
    8
    Poor Documentation
    8
    Poor User Interface
    7
    Slow Performance
    7
    Difficult Learning
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai 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
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Company Website
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,965 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 27% Mid-Market
Clarifai 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
26
Model Variety
25
Features
21
Easy Integrations
14
AI Technology
12
Cons
Expensive
8
Poor Documentation
8
Poor User Interface
7
Slow Performance
7
Difficult Learning
6
Clarifai 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
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.6
Seller Details
Seller
Clarifai
Company Website
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,965 Twitter followers
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
(35)4.7 out of 5
11th Easiest To Use in Machine Learning software
View top Consulting Services for machine-learning in Python
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used f

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • machine-learning in Python 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 Visualization
    2
    Ease of Use
    2
    Machine Learning
    2
    Customer Support
    1
    Easy Setup
    1
    Cons
    Expensive
    1
    Limited Diversity
    1
    Slow Speed
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • machine-learning in Python features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Ease of Use
    Average: 8.4
    8.4
    Quality of Support
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used f

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 31% Small-Business
machine-learning in Python 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 Visualization
2
Ease of Use
2
Machine Learning
2
Customer Support
1
Easy Setup
1
Cons
Expensive
1
Limited Diversity
1
Slow Speed
1
machine-learning in Python features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
9.0
Ease of Use
Average: 8.4
8.4
Quality of Support
Average: 8.4
9.0
Ease of Admin
Average: 8.6
Seller Details
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 55% Enterprise
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Model Manager 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
    5
    Model Management
    5
    Model Variety
    4
    Deployment Ease
    3
    Automation
    2
    Cons
    Expensive
    2
    Integration Difficulty
    2
    Technical Expertise Required
    2
    Complexity
    1
    Implementation Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Model Manager features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    7.2
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,199 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 55% Enterprise
  • 18% Small-Business
SAS Model Manager 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
5
Model Management
5
Model Variety
4
Deployment Ease
3
Automation
2
Cons
Expensive
2
Integration Difficulty
2
Technical Expertise Required
2
Complexity
1
Implementation Difficulty
1
SAS Model Manager features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 8.8
8.5
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
7.2
Ease of Admin
Average: 8.6
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,199 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
Phone
1-800-727-0025