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Best Machine Learning Software for Small Business

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, 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.

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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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20 Listings in Small Business Machine Learning Available

(642)4.3 out of 5
5th 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, a

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 31% 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
    180
    Model Variety
    133
    Machine Learning
    126
    Features
    125
    Integrations
    100
    Cons
    Expensive
    80
    Learning Curve
    56
    Complexity
    54
    Complexity Issues
    50
    Performance Issues
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertex AI features and usability ratings that predict user satisfaction
    8.3
    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
    31,701,494 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 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
  • 40% Small-Business
  • 31% 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
180
Model Variety
133
Machine Learning
126
Features
125
Integrations
100
Cons
Expensive
80
Learning Curve
56
Complexity
54
Complexity Issues
50
Performance Issues
39
Vertex AI features and usability ratings that predict user satisfaction
8.3
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
31,701,494 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(32)4.5 out of 5
7th Easiest To Use in Machine Learning software
View top Consulting Services for Google Cloud TPU
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud TPU features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.7
    9.2
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,701,494 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud TPU empowers businesses everywhere to access this accelerator technology to speed up their machine learning workloads on Google Cloud

Users
No information available
Industries
No information available
Market Segment
  • 41% Small-Business
  • 38% Mid-Market
Google Cloud TPU features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.7
9.2
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,701,494 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
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(135)4.4 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
    • 38% Small-Business
    • 32% 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
    68
    Model Variety
    25
    AI Integration
    20
    Features
    20
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    16
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
  • 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
    8.7
    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
    708,873 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 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
  • 38% Small-Business
  • 32% 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
68
Model Variety
25
AI Integration
20
Features
20
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
16
Complexity
13
Difficult Learning
13
UX Improvement
12
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
8.7
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
708,873 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(54)4.6 out of 5
1st Easiest To Use in Machine Learning software
View top Consulting Services for Azure OpenAI Service
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure OpenAI Service is a cloud-based platform that provides access to OpenAI's advanced artificial intelligence models, including GPT-3.5, Codex, and DALL·E 2. This service enables developers and bus

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure OpenAI Service 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
    Model Variety
    2
    Cloud Storage
    1
    Deployment Ease
    1
    Ease of Use
    1
    Easy Setup
    1
    Cons
    Expensive
    2
    Complex Setup
    1
    Expensive Subscriptions
    1
    Job Tracking
    1
    Time Consumption
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure OpenAI Service features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,090,375 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure OpenAI Service is a cloud-based platform that provides access to OpenAI's advanced artificial intelligence models, including GPT-3.5, Codex, and DALL·E 2. This service enables developers and bus

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Enterprise
  • 28% Mid-Market
Azure OpenAI Service 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
Model Variety
2
Cloud Storage
1
Deployment Ease
1
Ease of Use
1
Easy Setup
1
Cons
Expensive
2
Complex Setup
1
Expensive Subscriptions
1
Job Tracking
1
Time Consumption
1
Azure OpenAI Service features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.7
9.0
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,090,375 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
(730)4.3 out of 5
3rd 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
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Computer Software
    Market Segment
    • 33% 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 cloud-based analytics platform that integrates data preparation, analytics, and AI capabilities into a single environment.
    • Reviewers appreciate SAS Viya's high performance, powerful analytics tools, seamless cloud integration, and its ability to handle large datasets efficiently.
    • Users experienced challenges with the complexity of SAS Viya's setup process, its high licensing costs, and the need for advanced technical skills for proper management.
  • 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
    286
    Features
    205
    Analytics
    179
    Data Analysis
    150
    User Interface
    136
    Cons
    Learning Difficulty
    136
    Learning Curve
    133
    Complexity
    131
    Difficult Learning
    106
    Not User-Friendly
    97
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.2
    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
    7.6
    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
    61,099 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 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
  • Biostatistician
Industries
  • Pharmaceuticals
  • Computer Software
Market Segment
  • 33% 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 cloud-based analytics platform that integrates data preparation, analytics, and AI capabilities into a single environment.
  • Reviewers appreciate SAS Viya's high performance, powerful analytics tools, seamless cloud integration, and its ability to handle large datasets efficiently.
  • Users experienced challenges with the complexity of SAS Viya's setup process, its high licensing costs, and the need for advanced technical skills for proper management.
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
286
Features
205
Analytics
179
Data Analysis
150
User Interface
136
Cons
Learning Difficulty
136
Learning Curve
133
Complexity
131
Difficult Learning
106
Not User-Friendly
97
SAS Viya features and usability ratings that predict user satisfaction
8.2
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
7.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,099 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 50% Mid-Market
    • 43% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Personalize features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.4
    9.1
    Quality of Support
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,994 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 50% Mid-Market
  • 43% Small-Business
Amazon Personalize features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.7
8.8
Ease of Use
Average: 8.4
9.1
Quality of Support
Average: 8.4
9.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,994 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(48)4.6 out of 5
9th 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.

    The "machine-learning" project by jeff1evesque is a Python-based web interface and REST API designed for performing classification and regression tasks. It provides a user-friendly platform for implem

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 31% Enterprise
  • 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
    Ease of Use
    2
    Machine Learning
    2
    Customer Support
    1
    Data Visualization
    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
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.9
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The "machine-learning" project by jeff1evesque is a Python-based web interface and REST API designed for performing classification and regression tasks. It provides a user-friendly platform for implem

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Small-Business
  • 31% Enterprise
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
Ease of Use
2
Machine Learning
2
Customer Support
1
Data Visualization
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
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.9
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
8.9
Ease of Admin
Average: 8.5
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(98)4.3 out of 5
14th 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
    • 50% Small-Business
    • 36% 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
    8.4
    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
    2,218,994 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 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
  • 50% Small-Business
  • 36% 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
8.4
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
2,218,994 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AIToolbox is a comprehensive Swift framework designed to facilitate the development and implementation of artificial intelligence algorithms. It offers a suite of AI modules that cater to various mach

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 36% Mid-Market
  • 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
    AI Technology
    2
    Machine Learning
    2
    Customer Support
    1
    Ease of Use
    1
    Implementation Ease
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AIToolbox features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.7
    8.9
    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
    AIToolbox
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AIToolbox is a comprehensive Swift framework designed to facilitate the development and implementation of artificial intelligence algorithms. It offers a suite of AI modules that cater to various mach

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 36% Mid-Market
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
AI Technology
2
Machine Learning
2
Customer Support
1
Ease of Use
1
Implementation Ease
1
Cons
This product has not yet received any negative sentiments.
AIToolbox features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.7
8.9
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
AIToolbox
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
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  • 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
    1
    Features
    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: 8.7
    8.4
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Airbnb
    Year Founded
    2007
    HQ Location
    San Francisco, CA
    Twitter
    @Airbnb
    846,648 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    66,282 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
1
Features
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: 8.7
8.4
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Airbnb
Year Founded
2007
HQ Location
San Francisco, CA
Twitter
@Airbnb
846,648 Twitter followers
LinkedIn® Page
www.linkedin.com
66,282 employees on LinkedIn®
Ownership
NASDAQ: ABNB
(189)4.4 out of 5
11th Easiest To Use in Machine Learning software
View top Consulting Services for Dataiku
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 59% Enterprise
    • 23% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
    • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
    • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataiku Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    81
    Features
    79
    Usability
    43
    Easy Integrations
    41
    Integrations
    40
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    19
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,609 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 59% Enterprise
  • 23% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
  • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
  • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
Dataiku Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
81
Features
79
Usability
43
Easy Integrations
41
Integrations
40
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
19
Dataiku features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.8
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,952 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
  • 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
    18
    Productivity Improvement
    15
    Insights
    14
    Results
    11
    Analytics
    10
    Cons
    Learning Curve
    8
    Difficult Learning
    3
    Technical Expertise Required
    3
    Complex Implementation
    2
    High Complexity
    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: 8.7
    9.8
    Ease of Use
    Average: 8.4
    9.7
    Quality of Support
    Average: 8.4
    9.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    B2Metric
    Year Founded
    2018
    HQ Location
    Menlo Park, California
    Twitter
    @B2Metric
    256 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    35 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
18
Productivity Improvement
15
Insights
14
Results
11
Analytics
10
Cons
Learning Curve
8
Difficult Learning
3
Technical Expertise Required
3
Complex Implementation
2
High Complexity
2
B2Metric features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.8
Ease of Use
Average: 8.4
9.7
Quality of Support
Average: 8.4
9.8
Ease of Admin
Average: 8.5
Seller Details
Seller
B2Metric
Year Founded
2018
HQ Location
Menlo Park, California
Twitter
@B2Metric
256 Twitter followers
LinkedIn® Page
www.linkedin.com
35 employees on LinkedIn®
(60)4.8 out of 5
4th 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
    • Machine Learning Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • scikit-learn 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
    Machine Learning
    1
    Usage Frequency
    1
    Cons
    Lagging Issues
    1
    Limited Customization
    1
    Time Consumption
    1
  • 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
    23,002 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
  • Machine Learning Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 32% Mid-Market
scikit-learn 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
Machine Learning
1
Usage Frequency
1
Cons
Lagging Issues
1
Limited Customization
1
Time Consumption
1
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
23,002 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Recommendations API is a tool that helps customer discover items in users catalog, customer activity in a user's digital store is used to recommend items and to improve conversion in digital store.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Personalizer features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,090,375 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Recommendations API is a tool that helps customer discover items in users catalog, customer activity in a user's digital store is used to recommend items and to improve conversion in digital store.

Users
No information available
Industries
No information available
Market Segment
  • 46% Small-Business
  • 33% Enterprise
Personalizer features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
9.0
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,090,375 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
  • 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
    • Computer Software
    Market Segment
    • 76% Small-Business
    • 14% Mid-Market
  • 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: 8.7
    9.3
    Ease of Use
    Average: 8.4
    9.0
    Quality of Support
    Average: 8.4
    6.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,440,051 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46,062 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
  • Computer Software
Market Segment
  • 76% Small-Business
  • 14% Mid-Market
Jarvis features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.3
Ease of Use
Average: 8.4
9.0
Quality of Support
Average: 8.4
6.7
Ease of Admin
Average: 8.5
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,440,051 Twitter followers
LinkedIn® Page
www.linkedin.com
46,062 employees on LinkedIn®
Ownership
NVDA