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…
DataRobot for finance
DataRobot is a great ROI
Excellent for moving from willing to able.
DataRobot saves us time and effort, provides peace of mind.
An ideal end-to-end AutoML solution and force multiplier for skeleton crews!
Intelligent Tool for Data Modelling
Risk Modeller's Assessment of DataRobot
DataRobot enables rapid prototyping, reducing time to market
Review of DataRobot from a non-IT person
Very good tool to accelerate your ML process!
DataRobot provided a swift, powerful, and automatic way to implement large data project in parallel
DataRobot = Best AutoML Platform on the Market.
DataRobot is an excellent way to jumpstart a machine-learning project
DataRobot delivers
How DataRobot Differs From Its Competitors
Comprehensive Platform
AI Solutions
AI Solutions
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Comprehensive Platform
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Comprehensive Platform
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Comprehensive Platform
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Comprehensive Platform
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Comprehensive Platform
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Comprehensive Platform
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Comprehensive Platform
AI Solutions
Comprehensive Platform
- The platform alleviates the cumbersome and lengthy former process associated with model design and formulation.
- It streamlines multiple algorithms that can be tested and used to validate results.
- Simple interface that allows modeling, simulation, and sensitivity analysis both from an operational …
AI Solutions
- DataRobot has helped us navigate a harsh and hostile environment, given high uncertainty and ambiguity regarding loan decision-making.
- DataRobot's platform has saved loads of time and effort that would otherwise have been devoted to formulation, programming, and algorithm definition.
- DataRobot has …
Comprehensive Platform
Time to Value
Comprehensive Platform
Comprehensive Platform
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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
- Automated Machine Learning (54)9.393%
- Single platform for multiple model development (51)9.090%
- Automatic Data Format Detection (51)8.484%
- Visualization (51)8.080%
Reviewer Pros & Cons
Pricing
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
- 6.1Connect to Multiple Data Sources(48) Ratings
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
- 5.8Extend Existing Data Sources(43) Ratings
Use R or Python to create custom connectors for any APIs or databases
- 8.4Automatic Data Format Detection(51) Ratings
Automatic detection of data formats and schemas
- 8MDM Integration(24) Ratings
Integration with MDM and metadata dictionaries
Data Exploration
Ability to explore data and develop insights
- 8Visualization(51) Ratings
The product’s support and tooling for analysis and visualization of data.
- 7.8Interactive Data Analysis(50) Ratings
Ability to analyze data interactively using Python or R Notebooks
Data Preparation
Ability to prepare data for analysis
- 7.4Interactive Data Cleaning and Enrichment(44) Ratings
Access to visual processors for data wrangling
- 7.5Data Transformations(49) Ratings
Use visual tools for standard transformations
- 8.1Data Encryption(26) Ratings
Data encryption to ensure data privacy
- 7.9Built-in Processors(42) Ratings
Library of processors for data quality checks
Platform Data Modeling
Building predictive data models
- 7.6Multiple Model Development Languages and Tools(45) Ratings
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
- 9.3Automated Machine Learning(54) Ratings
Tools to help automate algorithm development
- 9Single platform for multiple model development(51) Ratings
Single place to build, validate, deliver, and monitor many different models
- 8.5Self-Service Model Delivery(50) Ratings
Multiple model delivery modes to comply with existing workflows
Model Deployment
Tools for deploying models into production
- 8.5Flexible Model Publishing Options(49) Ratings
Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.
- 8.2Security, Governance, and Cost Controls(43) Ratings
Built-in controls to mitigate compliance and audit risk with user activity tracking
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is DataRobot?
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
DataRobot Videos
DataRobot Integrations
- Snowflake
- Amazon Web Services
- Microsoft Azure
- Highspot
- Automation Anywhere
- FactSet
- Palantir Foundry
- Google Cloud Platform
- Qlik
- Tableau
- UI Path
- KX
- ServiceNow
- Salesforce
DataRobot Competitors
DataRobot Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
Supported Countries | Global |
Supported Languages | English, Spanish, French, Korean, Japanese, Portuguese |
DataRobot Downloadables
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(84)Attribute Ratings
Reviews
(1-5 of 5)Awesome app! Very user friendly, almost like having a junior data analyst in the team.
- Feature engineering
- Performance and velocity estimation
- Overall management of several models at once
- Integration with external data sources could be easier
- 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
- Visualization
- 80%8.0
- Interactive Data Analysis
- 80%8.0
- Interactive Data Cleaning and Enrichment
- 80%8.0
- Data Transformations
- 80%8.0
- Built-in Processors
- 80%8.0
- 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
- Flexible Model Publishing Options
- 60%6.0
- Security, Governance, and Cost Controls
- 30%3.0
- Time saved to perform lengthy assessments for decision making
A Good AI Tool
- Modeling
- Easier than others
- Well explained
- Courses in Spanish
- Cheaper
- Not always intuitive
- Connect to Multiple Data Sources
- 80%8.0
- Automatic Data Format Detection
- 80%8.0
- Visualization
- 90%9.0
- Interactive Data Analysis
- 80%8.0
- Interactive Data Cleaning and Enrichment
- 100%10.0
- Data Transformations
- 90%9.0
- Built-in Processors
- 80%8.0
- 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
- Flexible Model Publishing Options
- 80%8.0
- Security, Governance, and Cost Controls
- 80%8.0
- 2% Margin
- More control
- Multi-variant analysis - company information
DataRobot makes us use and understand models in real business easily
- Data prep: cleaning large data, creation of data flows and automation
- Model configuration and selection
- Deployment and monitoring models
- Documenting and explaining the "why" of the models so understanding and explaining to business is made easy.
- Data Scientist facing customers DSFC. They are very good but I think there should be more or include start-up services to clients more accessible.
- Integration of the different tools. DataRobot had acquired several companies and integrating them should not be noted.
- Automatic data mining
- More algorithms and facilities for anomaly detection.
- Easy of use
- Community and documentation
- Support
- A lot of use cases
- Connect to Multiple Data Sources
- 90%9.0
- Extend Existing Data Sources
- 80%8.0
- Automatic Data Format Detection
- 100%10.0
- MDM Integration
- 50%5.0
- Visualization
- 80%8.0
- Interactive Data Analysis
- 70%7.0
- Interactive Data Cleaning and Enrichment
- 100%10.0
- Data Transformations
- 100%10.0
- Data Encryption
- 70%7.0
- Built-in Processors
- 100%10.0
- 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
- 100%10.0
- Flexible Model Publishing Options
- 100%10.0
- Security, Governance, and Cost Controls
- 80%8.0
- We build a collection model, severals in fact, that gave of ROI of 400%
- We created a recommendation model that grow sales in 100% in the first 2 months of implementation
With Datarobot you can get from problem to production very, very fast.
TCRM is complicated to use, it is not for final users to create model or participate creating models. Also it is exclusively for salesforce. Takes a los more time to prepare data and create models. However the results in dashboards are awesome.
Data Scientist Facing Customer are exceptionally well trained and enjoy solving problems for the client. We did have several interactions and all are 100% worthy.
Your resources and money are better spent elsewhere
- No ROI.
- We wasted our analytics teams cycles trying to implement.
DataRobot is great for companies starting on the ML/AI journey
- The interface is easy to use and self-service, with intuitive design.
- The product is easy to use for data analysts and business users without having to be a data scientist, but if you are one the product is robust, so data scientists can also get some use.
- All of the screens have explanations of all data points, models, and this makes it easy to provide explanations at the executive level and can easily modify models on the fly.
- Not having any data cleansing or ETL capabilities, as most of the time you need to clean the data or append data before running models.
- There are constraints to how many models can be run, so this is frustrating, but this is how the pricing model works.
- It would be nice to have some me plug and play APIs for Salesforce and other tools instead of having to build your own.
- Significant time to value with the help of their enablement services.
- Significant cost avoidance, as the productivity gains are huge for the data analysts.
- Insights came quickly and delivered 4X ROI on the Marketing funnel.