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Best Predictive Analytics Software for Small Business

Bijou Barry
BB
Researched and written by Bijou Barry

Products classified in the overall Predictive Analytics 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 Predictive Analytics 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 Predictive Analytics category.

In addition to qualifying for inclusion in the Predictive Analytics Software category, to qualify for inclusion in the Small Business Predictive Analytics 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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31 Listings in Small Business Predictive Analytics Available

(684)4.3 out of 5
8th Easiest To Use in Predictive Analytics software
View top Consulting Services for Amazon QuickSight
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Entry Level Price:$3.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern int

    Users
    • Data Analyst
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 36% 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.
    • Amazon QuickSight is a cloud-based business intelligence and data visualization service that integrates with AWS services and external systems, allowing users to analyze data, create dashboards, and share insights.
    • Users frequently mention the seamless integration with AWS services, the ability to handle large datasets efficiently, and the intuitive interface for creating interactive dashboards and visualizations.
    • Reviewers experienced limitations in customization options for visuals and layouts, a steep learning curve for new users, and performance issues with highly complex queries.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon QuickSight 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
    117
    Integrations
    96
    Easy Integrations
    72
    Data Visualization
    64
    Scalability
    53
    Cons
    Limited Customization
    87
    Learning Curve
    48
    Limited Visualization
    37
    Limited Features
    30
    Expensive
    27
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon QuickSight features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.1
    AI Text Summarization
    Average: 8.1
    8.1
    Algorithms
    Average: 8.5
    8.2
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,219,422 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 QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern int

Users
  • Data Analyst
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Small-Business
  • 36% 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.
  • Amazon QuickSight is a cloud-based business intelligence and data visualization service that integrates with AWS services and external systems, allowing users to analyze data, create dashboards, and share insights.
  • Users frequently mention the seamless integration with AWS services, the ability to handle large datasets efficiently, and the intuitive interface for creating interactive dashboards and visualizations.
  • Reviewers experienced limitations in customization options for visuals and layouts, a steep learning curve for new users, and performance issues with highly complex queries.
Amazon QuickSight 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
117
Integrations
96
Easy Integrations
72
Data Visualization
64
Scalability
53
Cons
Limited Customization
87
Learning Curve
48
Limited Visualization
37
Limited Features
30
Expensive
27
Amazon QuickSight features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.1
AI Text Summarization
Average: 8.1
8.1
Algorithms
Average: 8.5
8.2
AI Text Generation
Average: 8.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,219,422 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(3,513)4.4 out of 5
2nd Easiest To Use in Predictive Analytics software
View top Consulting Services for Tableau
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Entry Level Price:$75.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 41% Enterprise
    • 35% 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.
    • Tableau is a data visualization tool that allows users to create charts and dashboards through a drag-and-drop interface, even with large datasets.
    • Users like Tableau's simplicity in creating visuals, its ability to load data from multiple sources, and its quick time refresh feature.
    • Reviewers mentioned that Tableau can be expensive, especially for small teams and individual users, and advanced calculations and customization sometimes require a steep learning curve.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tableau 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
    621
    Data Visualization
    537
    Visualization
    412
    Features
    337
    Intuitive
    305
    Cons
    Learning Curve
    272
    Learning Difficulty
    230
    Expensive
    224
    Slow Performance
    149
    Difficulty
    134
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tableau features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    8.0
    AI Text Summarization
    Average: 8.1
    8.4
    Algorithms
    Average: 8.5
    8.0
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @salesforce
    581,047 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    86,064 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tableau is the world’s leading AI-powered analytics platform. Offering a suite of analytics and business intelligence tools, Tableau turns trusted data into actionable insights so you can make better

Users
  • Data Analyst
  • Business Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 41% Enterprise
  • 35% 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.
  • Tableau is a data visualization tool that allows users to create charts and dashboards through a drag-and-drop interface, even with large datasets.
  • Users like Tableau's simplicity in creating visuals, its ability to load data from multiple sources, and its quick time refresh feature.
  • Reviewers mentioned that Tableau can be expensive, especially for small teams and individual users, and advanced calculations and customization sometimes require a steep learning curve.
Tableau 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
621
Data Visualization
537
Visualization
412
Features
337
Intuitive
305
Cons
Learning Curve
272
Learning Difficulty
230
Expensive
224
Slow Performance
149
Difficulty
134
Tableau features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
8.0
AI Text Summarization
Average: 8.1
8.4
Algorithms
Average: 8.5
8.0
AI Text Generation
Average: 8.1
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@salesforce
581,047 Twitter followers
LinkedIn® Page
www.linkedin.com
86,064 employees on LinkedIn®
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(730)4.3 out of 5
3rd Easiest To Use in Predictive Analytics 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-native platform that provides detailed keyword and sentiment analysis, and allows users to customize categories for analysis.
    • Reviewers appreciate SAS Viya's scalability, seamless integration of data preparation, advanced analytics, and machine learning within a single platform, and its user-friendly UI combined with powerful statistical capabilities.
    • Users mentioned that SAS Viya has a steep learning curve for new users, especially when transitioning from open-source ecosystems like Python, and its cost structure could be improved.
  • 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: 9.0
    6.7
    AI Text Summarization
    Average: 8.1
    8.6
    Algorithms
    Average: 8.5
    6.3
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,097 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-native platform that provides detailed keyword and sentiment analysis, and allows users to customize categories for analysis.
  • Reviewers appreciate SAS Viya's scalability, seamless integration of data preparation, advanced analytics, and machine learning within a single platform, and its user-friendly UI combined with powerful statistical capabilities.
  • Users mentioned that SAS Viya has a steep learning curve for new users, especially when transitioning from open-source ecosystems like Python, and its cost structure could be improved.
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: 9.0
6.7
AI Text Summarization
Average: 8.1
8.6
Algorithms
Average: 8.5
6.3
AI Text Generation
Average: 8.1
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,097 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
(1,147)4.2 out of 5
Optimized for quick response
5th Easiest To Use in Predictive Analytics software
View top Consulting Services for Adobe Analytics
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From di

    Users
    • Data Analyst
    • Analyst
    Industries
    • Marketing and Advertising
    • Information Technology and Services
    Market Segment
    • 42% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Adobe Analytics 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
    Insights
    68
    Analytics
    65
    Ease of Use
    65
    Features
    53
    Reporting
    32
    Cons
    Learning Curve
    37
    Expensive
    20
    Steep Learning Curve
    19
    Slow Performance
    18
    Difficult Learning
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Adobe Analytics features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.1
    AI Text Summarization
    Average: 8.1
    8.6
    Algorithms
    Average: 8.5
    8.8
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Adobe
    Company Website
    Year Founded
    1982
    HQ Location
    San Jose, CA
    Twitter
    @Adobe
    957,510 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41,406 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From di

Users
  • Data Analyst
  • Analyst
Industries
  • Marketing and Advertising
  • Information Technology and Services
Market Segment
  • 42% Enterprise
  • 29% Mid-Market
Adobe Analytics 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
Insights
68
Analytics
65
Ease of Use
65
Features
53
Reporting
32
Cons
Learning Curve
37
Expensive
20
Steep Learning Curve
19
Slow Performance
18
Difficult Learning
14
Adobe Analytics features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
9.1
AI Text Summarization
Average: 8.1
8.6
Algorithms
Average: 8.5
8.8
AI Text Generation
Average: 8.1
Seller Details
Seller
Adobe
Company Website
Year Founded
1982
HQ Location
San Jose, CA
Twitter
@Adobe
957,510 Twitter followers
LinkedIn® Page
www.linkedin.com
41,406 employees on LinkedIn®
(454)4.1 out of 5
Optimized for quick response
View top Consulting Services for IBM Cognos Analytics
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 59% Enterprise
    • 26% 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.
    • IBM Cognos Analytics is a tool that provides enterprise-grade reporting and data analysis capabilities, including the creation of dashboards and complex reports.
    • Reviewers like the tool's ability to handle large quantities of data, its data integrity and governance, its AI-driven insights, and its user-friendly interface that allows for easy creation of dashboards and reports.
    • Reviewers noted that the mobile experience is poor, the initial onboarding experience can be challenging for new users, the cost is high, and complex reports can cause the tool to run slow.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cognos Analytics 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
    38
    Data Visualization
    16
    Report Generation
    16
    Analytics
    14
    User Interface
    13
    Cons
    Learning Curve
    18
    Learning Difficulty
    10
    Slow Performance
    9
    Complexity
    8
    Complex Usage
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cognos Analytics features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.1
    AI Text Summarization
    Average: 8.1
    9.0
    Algorithms
    Average: 8.5
    8.0
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,967 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.

IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 59% Enterprise
  • 26% 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.
  • IBM Cognos Analytics is a tool that provides enterprise-grade reporting and data analysis capabilities, including the creation of dashboards and complex reports.
  • Reviewers like the tool's ability to handle large quantities of data, its data integrity and governance, its AI-driven insights, and its user-friendly interface that allows for easy creation of dashboards and reports.
  • Reviewers noted that the mobile experience is poor, the initial onboarding experience can be challenging for new users, the cost is high, and complex reports can cause the tool to run slow.
IBM Cognos Analytics 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
38
Data Visualization
16
Report Generation
16
Analytics
14
User Interface
13
Cons
Learning Curve
18
Learning Difficulty
10
Slow Performance
9
Complexity
8
Complex Usage
6
IBM Cognos Analytics features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 9.0
8.1
AI Text Summarization
Average: 8.1
9.0
Algorithms
Average: 8.5
8.0
AI Text Generation
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(1,211)4.5 out of 5
4th Easiest To Use in Predictive Analytics software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery 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
    162
    Speed
    142
    Fast Querying
    121
    Integrations
    119
    Scalability
    116
    Cons
    Expensive
    129
    Query Issues
    74
    Cost Issues
    62
    Cost Management
    60
    Learning Curve
    55
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 9.0
    7.8
    AI Text Summarization
    Average: 8.1
    8.8
    Algorithms
    Average: 8.5
    7.5
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,726,776 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.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery 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
162
Speed
142
Fast Querying
121
Integrations
119
Scalability
116
Cons
Expensive
129
Query Issues
74
Cost Issues
62
Cost Management
60
Learning Curve
55
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
7.8
AI Text Summarization
Average: 8.1
8.8
Algorithms
Average: 8.5
7.5
AI Text Generation
Average: 8.1
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,726,776 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(566)4.2 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GoodData is an AI-native analytics platform, built for speed, scale and trust. It enables organisations to embed agentic AI into their data-stack, deliver governed insights in real time, and integrate

    Users
    • Data Analyst
    • Product Manager
    Industries
    • Computer Software
    • Consumer Services
    Market Segment
    • 44% Mid-Market
    • 39% 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.
    • GoodData is a business intelligence tool that provides data visualization and analytics capabilities, enabling users to create custom dashboards and reports.
    • Reviewers like GoodData's flexibility, powerful visualization features, and its ability to integrate with existing tools and databases, which facilitates faster decision-making and streamlines reporting processes.
    • Users reported issues with GoodData's complexity during setup, particularly when connecting multiple systems, and the platform's reliance on structured setup can introduce administrative challenges and affect release dates.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • GoodData 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
    52
    Integrations
    39
    Data Visualization
    36
    Customization
    35
    Easy Integrations
    32
    Cons
    Learning Curve
    28
    Learning Difficulty
    23
    Missing Features
    16
    Complexity
    15
    Initial Difficulty
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GoodData features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    6.7
    Algorithms
    Average: 8.5
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GoodData
    Company Website
    Year Founded
    2007
    HQ Location
    San Francisco, CA
    Twitter
    @gooddata
    12,672 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    284 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GoodData is an AI-native analytics platform, built for speed, scale and trust. It enables organisations to embed agentic AI into their data-stack, deliver governed insights in real time, and integrate

Users
  • Data Analyst
  • Product Manager
Industries
  • Computer Software
  • Consumer Services
Market Segment
  • 44% Mid-Market
  • 39% 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.
  • GoodData is a business intelligence tool that provides data visualization and analytics capabilities, enabling users to create custom dashboards and reports.
  • Reviewers like GoodData's flexibility, powerful visualization features, and its ability to integrate with existing tools and databases, which facilitates faster decision-making and streamlines reporting processes.
  • Users reported issues with GoodData's complexity during setup, particularly when connecting multiple systems, and the platform's reliance on structured setup can introduce administrative challenges and affect release dates.
GoodData 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
52
Integrations
39
Data Visualization
36
Customization
35
Easy Integrations
32
Cons
Learning Curve
28
Learning Difficulty
23
Missing Features
16
Complexity
15
Initial Difficulty
10
GoodData features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
6.7
Algorithms
Average: 8.5
0.0
No information available
Seller Details
Seller
GoodData
Company Website
Year Founded
2007
HQ Location
San Francisco, CA
Twitter
@gooddata
12,672 Twitter followers
LinkedIn® Page
www.linkedin.com
284 employees on LinkedIn®
  • Overview
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  • 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: 9.0
    8.8
    AI Text Summarization
    Average: 8.1
    8.7
    Algorithms
    Average: 8.5
    9.6
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,219,422 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: 9.0
8.8
AI Text Summarization
Average: 8.1
8.7
Algorithms
Average: 8.5
9.6
AI Text Generation
Average: 8.1
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,219,422 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(922)4.2 out of 5
Optimized for quick response
14th Easiest To Use in Predictive Analytics software
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30% Off: 55.30 USD
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, exp

    Users
    • Research Assistant
    • Assistant Professor
    Industries
    • Higher Education
    • Research
    Market Segment
    • 43% Enterprise
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM SPSS Statistics 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
    31
    Statistical Analysis
    19
    Data Management
    14
    User Interface
    13
    Analysis Capabilities
    11
    Cons
    Expensive
    18
    Learning Curve
    10
    Poor Visualization
    10
    Slow Performance
    7
    Performance Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM SPSS Statistics features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    AI Text Summarization
    Average: 8.1
    7.7
    Algorithms
    Average: 8.5
    10.0
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,967 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.

IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, exp

Users
  • Research Assistant
  • Assistant Professor
Industries
  • Higher Education
  • Research
Market Segment
  • 43% Enterprise
  • 30% Mid-Market
IBM SPSS Statistics 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
31
Statistical Analysis
19
Data Management
14
User Interface
13
Analysis Capabilities
11
Cons
Expensive
18
Learning Curve
10
Poor Visualization
10
Slow Performance
7
Performance Issues
6
IBM SPSS Statistics features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
AI Text Summarization
Average: 8.1
7.7
Algorithms
Average: 8.5
10.0
AI Text Generation
Average: 8.1
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(879)4.2 out of 5
View top Consulting Services for SAP Analytics Cloud
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Entry Level Price:$36.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and pl

    Users
    • Senior Consultant
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 27% 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.
    • SAP Analytics Cloud is a platform that combines business intelligence, planning, and predictive analytics into one unified, cloud-based solution, with a focus on real-time data, interactive dashboards, and forecasting tools.
    • Reviewers like the platform's real-time data, interactive dashboards, and forecasting tools, which make reporting faster, more accurate, and actionable, and its tight integration with the SAP ecosystem, which allows for reporting and planning to be combined in one platform.
    • Reviewers experienced performance issues with very large datasets, as dashboards can sometimes load slowly, and advanced customization options for certain visualizations are limited compared to specialized BI tools.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Analytics Cloud 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
    55
    Data Visualization
    46
    Data Analysis
    45
    Analytics
    34
    Integrations
    33
    Cons
    Slow Performance
    28
    Learning Curve
    27
    Performance Issues
    24
    Large Dataset Handling
    23
    Learning Difficulty
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Analytics Cloud features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    AI Text Summarization
    Average: 8.1
    8.0
    Algorithms
    Average: 8.5
    8.7
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,375 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    138,451 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and pl

Users
  • Senior Consultant
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 27% 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.
  • SAP Analytics Cloud is a platform that combines business intelligence, planning, and predictive analytics into one unified, cloud-based solution, with a focus on real-time data, interactive dashboards, and forecasting tools.
  • Reviewers like the platform's real-time data, interactive dashboards, and forecasting tools, which make reporting faster, more accurate, and actionable, and its tight integration with the SAP ecosystem, which allows for reporting and planning to be combined in one platform.
  • Reviewers experienced performance issues with very large datasets, as dashboards can sometimes load slowly, and advanced customization options for certain visualizations are limited compared to specialized BI tools.
SAP Analytics Cloud 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
55
Data Visualization
46
Data Analysis
45
Analytics
34
Integrations
33
Cons
Slow Performance
28
Learning Curve
27
Performance Issues
24
Large Dataset Handling
23
Learning Difficulty
23
SAP Analytics Cloud features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.9
AI Text Summarization
Average: 8.1
8.0
Algorithms
Average: 8.5
8.7
AI Text Generation
Average: 8.1
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,375 Twitter followers
LinkedIn® Page
www.linkedin.com
138,451 employees on LinkedIn®
(223)4.6 out of 5
Optimized for quick response
13th Easiest To Use in Predictive Analytics software
Save to My Lists
  • Overview
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  • 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
    • Quality Manager
    Industries
    • Automotive
    • Manufacturing
    Market Segment
    • 46% Enterprise
    • 32% 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
    61
    Data Analysis
    53
    Statistical Analysis
    38
    Analysis
    31
    Analysis Capabilities
    31
    Cons
    Expensive
    22
    Learning Curve
    22
    Complexity
    13
    Not User-Friendly
    13
    Data Management Issues
    10
  • 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: 9.0
    7.4
    AI Text Summarization
    Average: 8.1
    8.3
    Algorithms
    Average: 8.5
    7.3
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Minitab
    Company Website
    Year Founded
    1972
    HQ Location
    State College, Pennsylvania, United States
    Twitter
    @Minitab
    5,033 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    701 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
  • Quality Manager
Industries
  • Automotive
  • Manufacturing
Market Segment
  • 46% Enterprise
  • 32% 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
61
Data Analysis
53
Statistical Analysis
38
Analysis
31
Analysis Capabilities
31
Cons
Expensive
22
Learning Curve
22
Complexity
13
Not User-Friendly
13
Data Management Issues
10
Minitab Statistical Software features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 9.0
7.4
AI Text Summarization
Average: 8.1
8.3
Algorithms
Average: 8.5
7.3
AI Text Generation
Average: 8.1
Seller Details
Seller
Minitab
Company Website
Year Founded
1972
HQ Location
State College, Pennsylvania, United States
Twitter
@Minitab
5,033 Twitter followers
LinkedIn® Page
www.linkedin.com
701 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

    Users
    No information available
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 53% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM SPSS Modeler 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
    Analysis Capabilities
    1
    Analytics
    1
    Data Access
    1
    Data Management
    1
    Data Visualization
    1
    Cons
    Expensive
    1
    Expensive Licensing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM SPSS Modeler features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.3
    AI Text Summarization
    Average: 8.1
    8.0
    Algorithms
    Average: 8.5
    7.3
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

Users
No information available
Industries
  • Higher Education
  • Education Management
Market Segment
  • 53% Enterprise
  • 24% Mid-Market
IBM SPSS Modeler 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
Analysis Capabilities
1
Analytics
1
Data Access
1
Data Management
1
Data Visualization
1
Cons
Expensive
1
Expensive Licensing
1
IBM SPSS Modeler features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
7.3
AI Text Summarization
Average: 8.1
8.0
Algorithms
Average: 8.5
7.3
AI Text Generation
Average: 8.1
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(47)4.8 out of 5
1st Easiest To Use in Predictive Analytics software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time

    Users
    • Data Scientist
    Industries
    • Computer Software
    • Retail
    Market Segment
    • 49% Enterprise
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nixtla 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
    Easy Integrations
    15
    Customer Support
    14
    Machine Learning
    13
    Implementation Ease
    12
    Cons
    Missing Features
    6
    Lack of Guidance
    5
    Limited Features
    5
    Learning Curve
    3
    Learning Difficulty
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nixtla features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    4.3
    AI Text Summarization
    Average: 8.1
    9.6
    Algorithms
    Average: 8.5
    4.6
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nixtla
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time

Users
  • Data Scientist
Industries
  • Computer Software
  • Retail
Market Segment
  • 49% Enterprise
  • 32% Small-Business
Nixtla 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
Easy Integrations
15
Customer Support
14
Machine Learning
13
Implementation Ease
12
Cons
Missing Features
6
Lack of Guidance
5
Limited Features
5
Learning Curve
3
Learning Difficulty
3
Nixtla features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
4.3
AI Text Summarization
Average: 8.1
9.6
Algorithms
Average: 8.5
4.6
AI Text Generation
Average: 8.1
Seller Details
Seller
Nixtla
Company Website
Year Founded
2021
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
(81)4.4 out of 5
View top Consulting Services for Qlik Predict
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simpl

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Qlik Predict 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
    Automation
    5
    Ease of Use
    5
    AI Integration
    4
    Machine Learning
    4
    AI Capabilities
    3
    Cons
    Limited Customization
    4
    Deployment Issues
    2
    Lacking Features
    2
    Required Knowledge
    2
    Tool Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Predict features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    AI Text Summarization
    Average: 8.1
    8.2
    Algorithms
    Average: 8.5
    6.7
    AI Text Generation
    Average: 8.1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,552 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simpl

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Enterprise
  • 31% Small-Business
Qlik Predict 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
Automation
5
Ease of Use
5
AI Integration
4
Machine Learning
4
AI Capabilities
3
Cons
Limited Customization
4
Deployment Issues
2
Lacking Features
2
Required Knowledge
2
Tool Limitations
2
Qlik Predict features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
6.7
AI Text Summarization
Average: 8.1
8.2
Algorithms
Average: 8.5
6.7
AI Text Generation
Average: 8.1
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,372 Twitter followers
LinkedIn® Page
www.linkedin.com
4,552 employees on LinkedIn®
Phone
1 (888) 994-9854
(26)4.4 out of 5
View top Consulting Services for DataRobot
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataRobot features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataRobot
    Year Founded
    2012
    HQ Location
    Boston, Massachusetts
    Twitter
    @DataRobot
    19,286 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    851 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

Users
No information available
Industries
  • Computer Software
Market Segment
  • 58% Small-Business
  • 31% Enterprise
DataRobot features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,286 Twitter followers
LinkedIn® Page
www.linkedin.com
851 employees on LinkedIn®