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DataRobot

DataRobot

Overview

What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that…

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Recent Reviews

DataRobot delivers

8 out of 10
August 17, 2022
Incentivized
DataRobot helps us make sense of a large amount of information. Trying to predict what's going to happen is always difficult, but with …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 16 features
  • Automated Machine Learning (54)
    9.3
    93%
  • Single platform for multiple model development (51)
    9.0
    90%
  • Automatic Data Format Detection (51)
    8.4
    84%
  • Visualization (51)
    8.0
    80%

Reviewer Pros & Cons

View all pros & cons
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Pricing

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What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

7.1
Avg 8.5

Data Exploration

Ability to explore data and develop insights

7.9
Avg 8.4

Data Preparation

Ability to prepare data for analysis

7.7
Avg 8.2

Platform Data Modeling

Building predictive data models

8.6
Avg 8.5

Model Deployment

Tools for deploying models into production

8.3
Avg 8.6
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Product Details

What is DataRobot?

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service.

The solutions include tools providing data preparation enabling users to explore and shape data in preparation for machine learning, automate machine learning, deploy, monitor, manage, and govern all AI models (i.e. MLOps), and the ability to generate time series models that predict the future values of a data series based on its history and trend.

DataRobot AI Platform extends the user's data science expertise with automation and aims to give unlimited flexibility for both data science experts and non-technical users to succeed with AI.

DataRobot Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources
  • Supported: Automatic Data Format Detection
  • Supported: MDM Integration

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Transformations
  • Supported: Data Encryption
  • Supported: Built-in Processors

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Automated Machine Learning
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Additional Features

  • Supported: Automated Time Series
  • Supported: Cloud-Hosted Notebooks
  • Supported: Data Preparation
  • Supported: Feature discovery
  • Supported: MLOps
  • Supported: No Code AI App Builder
  • Supported: AI Apps
  • Supported: Decision Flows
  • Supported: Bias Testing and Monitoring
  • Supported: Compliance Documentation and Prediction Explanations
  • Supported: Anomaly Detection
  • Supported: Data Prep Automation
  • Supported: Bringing together any type of data from any source
  • Supported: Demand Forecasting

DataRobot Screenshots

Screenshot of Decision FlowsScreenshot of No Code App BuilderScreenshot of AI AppsScreenshot of Automated Time SeriesScreenshot of MLOpsScreenshot of Model InsightsScreenshot of Visual AIScreenshot of Prediction ExplanationsScreenshot of Bias and FairnessScreenshot of Cloud-Hosted NotebooksScreenshot of Data PreparationScreenshot of Location AI

DataRobot Videos

DataRobot Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish, Spanish, French, Korean, Japanese, Portuguese

Frequently Asked Questions

DataRobot starts at $0.

Dataiku, H2O.ai, and Google Cloud AI are common alternatives for DataRobot.

Reviewers rate Automated Machine Learning highest, with a score of 9.3.

The most common users of DataRobot are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(84)

Attribute Ratings

Reviews

(1-25 of 55)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
86.66666666666666%
8.7
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
100%
10.0
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
80%
8.0
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
80%
8.0
Data Encryption
80%
8.0
Built-in Processors
80%
8.0
Platform Data Modeling (4)
92.5%
9.3
Multiple Model Development Languages and Tools
80%
8.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
95%
9.5
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
90%
9.0
December 01, 2023

DataRobot for finance

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
17.5%
1.8
Connect to Multiple Data Sources
N/A
N/A
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
70%
7.0
MDM Integration
N/A
N/A
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
77.5%
7.8
Interactive Data Cleaning and Enrichment
70%
7.0
Data Transformations
70%
7.0
Data Encryption
90%
9.0
Built-in Processors
80%
8.0
Platform Data Modeling (4)
75%
7.5
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
55%
5.5
Flexible Model Publishing Options
50%
5.0
Security, Governance, and Cost Controls
60%
6.0
December 01, 2023

DataRobot is a great ROI

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
45%
4.5
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
N/A
N/A
MDM Integration
N/A
N/A
Data Exploration (2)
N/A
N/A
Visualization
N/A
N/A
Interactive Data Analysis
N/A
N/A
Data Preparation (4)
N/A
N/A
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
N/A
N/A
Data Encryption
N/A
N/A
Built-in Processors
N/A
N/A
Platform Data Modeling (4)
25%
2.5
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
100%
10.0
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Ross Skelton | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
75%
7.5
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
100%
10.0
MDM Integration
100%
10.0
Data Exploration (2)
85%
8.5
Visualization
100%
10.0
Interactive Data Analysis
70%
7.0
Data Preparation (4)
67.5%
6.8
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
70%
7.0
Data Encryption
N/A
N/A
Built-in Processors
100%
10.0
Platform Data Modeling (4)
75%
7.5
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
97.5%
9.8
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
MDM Integration
90%
9.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (4)
90%
9.0
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
90%
9.0
Data Encryption
90%
9.0
Built-in Processors
90%
9.0
Platform Data Modeling (4)
97.5%
9.8
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
85%
8.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
80%
8.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
72.5%
7.3
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
60%
6.0
Automatic Data Format Detection
80%
8.0
MDM Integration
70%
7.0
Data Exploration (2)
75%
7.5
Visualization
70%
7.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
57.5%
5.8
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
70%
7.0
Data Encryption
N/A
N/A
Built-in Processors
100%
10.0
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
90%
9.0
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
90%
9.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
100%
10.0
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
MDM Integration
100%
10.0
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Data Encryption
100%
10.0
Built-in Processors
100%
10.0
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
N/A
N/A
Connect to Multiple Data Sources
N/A
N/A
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
N/A
N/A
MDM Integration
N/A
N/A
Data Exploration (2)
N/A
N/A
Visualization
N/A
N/A
Interactive Data Analysis
N/A
N/A
Data Preparation (4)
72.5%
7.3
Interactive Data Cleaning and Enrichment
70%
7.0
Data Transformations
60%
6.0
Data Encryption
70%
7.0
Built-in Processors
90%
9.0
Platform Data Modeling (4)
85%
8.5
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
90%
9.0
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
100%
10.0
MDM Integration
80%
8.0
Data Exploration (2)
90%
9.0
Visualization
100%
10.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
50%
5.0
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
100%
10.0
Data Encryption
N/A
N/A
Built-in Processors
100%
10.0
Platform Data Modeling (4)
72.5%
7.3
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
95%
9.5
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
90%
9.0
Suradech Kongkiatpaiboon | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
22.5%
2.3
Connect to Multiple Data Sources
N/A
N/A
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
90%
9.0
MDM Integration
N/A
N/A
Data Exploration (2)
N/A
N/A
Visualization
N/A
N/A
Interactive Data Analysis
N/A
N/A
Data Preparation (4)
N/A
N/A
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
N/A
N/A
Data Encryption
N/A
N/A
Built-in Processors
N/A
N/A
Platform Data Modeling (4)
25%
2.5
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
100%
10.0
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
40%
4.0
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
80%
8.0
MDM Integration
N/A
N/A
Data Exploration (2)
65%
6.5
Visualization
60%
6.0
Interactive Data Analysis
70%
7.0
Data Preparation (2)
25%
2.5
Data Transformations
50%
5.0
Data Encryption
N/A
N/A
Platform Data Modeling (4)
57.5%
5.8
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
70%
7.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
65%
6.5
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
60%
6.0
Automatic Data Format Detection
60%
6.0
MDM Integration
60%
6.0
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
65%
6.5
Interactive Data Cleaning and Enrichment
70%
7.0
Data Transformations
70%
7.0
Data Encryption
50%
5.0
Built-in Processors
70%
7.0
Platform Data Modeling (4)
90%
9.0
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
60%
6.0
Flexible Model Publishing Options
60%
6.0
Security, Governance, and Cost Controls
60%
6.0
Michael Green | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
75%
7.5
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
70%
7.0
MDM Integration
70%
7.0
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
80%
8.0
Interactive Data Cleaning and Enrichment
70%
7.0
Data Transformations
70%
7.0
Data Encryption
90%
9.0
Built-in Processors
90%
9.0
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
95%
9.5
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
90%
9.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
N/A
N/A
Connect to Multiple Data Sources
N/A
N/A
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
N/A
N/A
MDM Integration
N/A
N/A
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
47.5%
4.8
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
90%
9.0
Data Encryption
N/A
N/A
Built-in Processors
N/A
N/A
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
45%
4.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
N/A
N/A
August 17, 2022

DataRobot delivers

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
55%
5.5
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
60%
6.0
MDM Integration
N/A
N/A
Data Exploration (2)
60%
6.0
Visualization
50%
5.0
Interactive Data Analysis
70%
7.0
Data Preparation (4)
62.5%
6.3
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
70%
7.0
Data Encryption
40%
4.0
Built-in Processors
80%
8.0
Platform Data Modeling (4)
95%
9.5
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
85%
8.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
80%
8.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
32.5%
3.3
Connect to Multiple Data Sources
20%
2.0
Extend Existing Data Sources
20%
2.0
Automatic Data Format Detection
90%
9.0
MDM Integration
N/A
N/A
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
62.5%
6.3
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
90%
9.0
Data Encryption
N/A
N/A
Built-in Processors
80%
8.0
Platform Data Modeling (4)
90%
9.0
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
40%
4.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
50%
5.0
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
50%
5.0
MDM Integration
N/A
N/A
Data Exploration (2)
25%
2.5
Visualization
30%
3.0
Interactive Data Analysis
20%
2.0
Data Preparation (4)
72.5%
7.3
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
70%
7.0
Data Encryption
90%
9.0
Built-in Processors
70%
7.0
Platform Data Modeling (4)
97.5%
9.8
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
90%
9.0
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
90%
9.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
75%
7.5
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
MDM Integration
N/A
N/A
Data Exploration (2)
85%
8.5
Visualization
80%
8.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
70%
7.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
80%
8.0
Data Encryption
N/A
N/A
Built-in Processors
100%
10.0
Platform Data Modeling (4)
80%
8.0
Multiple Model Development Languages and Tools
70%
7.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
50%
5.0
Model Deployment (2)
45%
4.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
N/A
N/A
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
72.5%
7.3
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
90%
9.0
MDM Integration
N/A
N/A
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (4)
55%
5.5
Interactive Data Cleaning and Enrichment
50%
5.0
Data Transformations
70%
7.0
Data Encryption
N/A
N/A
Built-in Processors
100%
10.0
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
65%
6.5
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
90%
9.0
MDM Integration
N/A
N/A
Data Exploration (2)
60%
6.0
Visualization
60%
6.0
Interactive Data Analysis
60%
6.0
Data Preparation (4)
40%
4.0
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
70%
7.0
Data Encryption
N/A
N/A
Built-in Processors
90%
9.0
Platform Data Modeling (4)
92.5%
9.3
Multiple Model Development Languages and Tools
90%
9.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
45%
4.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
N/A
N/A
Javier Mendez | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
60%
6.0
Connect to Multiple Data Sources
40%
4.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
80%
8.0
MDM Integration
40%
4.0
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation
N/A
N/A
Platform Data Modeling (4)
87.5%
8.8
Multiple Model Development Languages and Tools
80%
8.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
37.5%
3.8
Connect to Multiple Data Sources
60%
6.0
Extend Existing Data Sources
N/A
N/A
Automatic Data Format Detection
90%
9.0
MDM Integration
N/A
N/A
Data Exploration (2)
95%
9.5
Visualization
100%
10.0
Interactive Data Analysis
90%
9.0
Data Preparation (4)
42.5%
4.3
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
90%
9.0
Data Encryption
N/A
N/A
Built-in Processors
N/A
N/A
Platform Data Modeling (4)
20%
2.0
Multiple Model Development Languages and Tools
N/A
N/A
Automated Machine Learning
80%
8.0
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
67.5%
6.8
Connect to Multiple Data Sources
60%
6.0
Extend Existing Data Sources
50%
5.0
Automatic Data Format Detection
80%
8.0
MDM Integration
80%
8.0
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation (3)
80%
8.0
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
80%
8.0
Built-in Processors
80%
8.0
Platform Data Modeling (4)
72.5%
7.3
Multiple Model Development Languages and Tools
70%
7.0
Automated Machine Learning
80%
8.0
Single platform for multiple model development
70%
7.0
Self-Service Model Delivery
70%
7.0
Model Deployment (2)
45%
4.5
Flexible Model Publishing Options
60%
6.0
Security, Governance, and Cost Controls
30%
3.0
March 29, 2022

A Good AI Tool

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (2)
80%
8.0
Connect to Multiple Data Sources
80%
8.0
Automatic Data Format Detection
80%
8.0
Data Exploration (2)
85%
8.5
Visualization
90%
9.0
Interactive Data Analysis
80%
8.0
Data Preparation (3)
90%
9.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
90%
9.0
Built-in Processors
80%
8.0
Platform Data Modeling (4)
85%
8.5
Multiple Model Development Languages and Tools
70%
7.0
Automated Machine Learning
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (4)
60%
6.0
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
100%
10.0
MDM Integration
N/A
N/A
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
N/A
N/A
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
N/A
N/A
Data Encryption
N/A
N/A
Built-in Processors
N/A
N/A
Platform Data Modeling (4)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
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