Great company and team that are vested in your success
We use DataRobot for traditional ML/AI use cases from R&D and training to deploying and monitoring. Use cases include churn / acquisition …
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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…
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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%
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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…
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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 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.
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
DataRobot starts at $0.
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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(84)Attribute Ratings
Reviews
(1-25 of 58)Companies can't remove reviews or game the system. Here's why
April 04, 2024
Great company and team that are vested in your success
- AutoML
- MLOps
- Speed-to-market
- Deeper / better integration with hyperscalers
December 01, 2023
DataRobot for finance
- The interface is excellent - fast enough to use for development, easy to share insights with business users, etc.
- Automodelling is more than sufficient for our needs, performance and explainability are both great
- Support is excellent
- It would be great to have API documentation linked/generated/templated from the UI, for API noobs like me
- Small things like being able to pre-calculate feature effects for top x / all models when automodelling would be nice
December 01, 2023
DataRobot is a great ROI
- Expert Technical Support
- Easy Deployment
- Documentation can sometimes be hard to find.
October 25, 2023
Excellent for moving from willing to able.
- Supporting its users to identify and execute on use cases
- Building internal capability
- Providing a powerful tool that simplifies the end to end machine learning process.
- Some of the UI takes some time to get around (look for orange text)
- The idea of "machine learning" citizen is a bit of a stretch. But they empower your analysts
October 11, 2023
DataRobot saves us time and effort, provides peace of mind.
- Automated featured engineering.
- Multivariate analysis.
- Time series forecasting.
- Data Preprocessing and Cleaning.
- Support for Unstructured Data.
- Interpretability and Explainability.
- autopilot for testing and ranking the suitability of multiple models
- easy to upload observations and download the predictions with explanations
- scalable with multiple workers to speed up the process where urgent
- more lenience with uploaded observations when the feature tables don't fully match the feature set that the deployed model trained on. Instead of simply erroring out, provide prompts for in-place fixes.
- null correlation analysis (how often two columns are missing values at the same time) would be very useful to help identify a different type of data relationship.
October 02, 2023
Intelligent Tool for Data Modelling
- Data Modeling
- Variable Creation
- Connectivity with other language such as Python
- Showing the actual algorithm, example is in Decision Tree
September 20, 2023
Risk Modeller's Assessment of DataRobot
- Exploratory Data Analysis
- Shortlisting of Risk Factors
- Model Building/ Blueprint
- Show the model performance of train dataset
- Do not limit up to five features only when downloading predictions
August 25, 2023
DataRobot enables rapid prototyping, reducing time to market
- Quickly provides data assessment
- Quickly provides models for review
- Enables informed collaboration
- Ability to tweak projects without redoing them from scratch.
August 23, 2023
Review of DataRobot from a non-IT person
- Model screening
- Preliminary assessment of general accuracy or error that a typical model can provide
- Training is superb especially from DataRobot University
- I found that model deployment is a bit difficult for non-IT background like myself
- EDA may be improved
- Should show estimated time to complete for each run
June 29, 2023
Very good tool to accelerate your ML process!
- ML training.
- ML deployment.
- Good documentation for implementing a first-API approach.
- The MLOps platform is not great, especially the charts.
- The license model presented to us didn't make full sense, you couldn't download any model using only the MLDev license.
- Include more feature engineering options after uploading the data.
December 30, 2022
DataRobot provided a swift, powerful, and automatic way to implement large data project in parallel
- Computing speed
- Running in batches
- Shared projects
- Post parameter tuning
- Model result replication
December 28, 2022
DataRobot = Best AutoML Platform on the Market.
- Thorough testing & validation of models.
- Very fast process from raw data to deployment.
- Easy to deploy with REST API endpoints.
- Tons of best practices baked into the platform.
- Customization of error metrics.
- More affordable pricing.
- Better work-life balance for employees.
- Manages messy data.
- Evaluates numerous models with little user effort
- Provides reliable repository for data and models.
- DataRobot is NOT the limiting factor in the improvement of my business process. Getting more and cleaner data is the problem, so, in a sense, DataRobot cannot be improved for my purposes.
August 17, 2022
DataRobot delivers
- Time Series
- Modeling
- Awesome robot predictions
- Flexibility of certain models
- Time series included in general base package
- Certain data source integration
August 11, 2022
Not sure to choose Data Robot? You must read this first!
- Feature Engineering
- Model Training
- Metric Validation
- Detect Bias
- Direct Connection to Oracle Database
- Normalize Data
- Customer Success
August 09, 2022
DataRobot is pretty good, could be better.
- Minimizes coding extensively (for the user).
- Allows high levels of customization.
- Deployments are well organized.
- Model training could be faster.
- Too many limitations, such as making changes to deployments (such as threshold).
August 09, 2022
A Robust System for Forecasting and Inventory Management.
- Provides Charts that show how well their model performs,
- Is highly customizable when you're building a model.
- Makes a lot of the decisions for you so you don't have to babysit each step.
- The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
- The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
- The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
August 09, 2022
Amazing product, great value.
- Process large amounts of data quickly.
- Provides very accurate predictions.
- It provides an easy way to compare the predictive value of each of the features of the model.
- Has a good text analysis tool.
- Further improvements to their text analysis tool, to be more like the Qualtrics text analysis tool, would be a great addition. Qualtrics has templates built into their text analysis tool for customer service, quality control, etc, and will automatically slot your text responses into categories associated with certain sub areas of those larger categories.
August 04, 2022
DataRobot will free your data scientists from the boring part of their job and allow them to focus on the human part
- Iterative model development
- Fast training of a very large number of models
- Easy deployment to their cloud solution, or export as an approximate model
- Visualization and explanation of important model components
- We should be able to download data sets from our own projects--after all, we uploaded them originally (and they were not stored locally; they were created specifically for a DataRobot project).
- The sales team is very aggressive at pushing features that we would never use, such as data hygiene (clunky integration of Paxata), ML Ops (just don't need it), and AI services (we're a mature company; we don't need help coming up with use cases).
- Pricing changes every year--not just the amount but what you actually get, so we need to nitpick the contract each year because DataRobot has inevitably eliminated something we need.
August 04, 2022
Navigating ambiguous and uncertain waters with DataRobot
- Powerful to quickly connect and process data
- Excellent algorithm generation and model building capabilities
- Superior performance to deploy live models with API connectivity
- Enhanced capabilities to connect to SQL servers is desired.
- Functionalities oriented to suggest feature improvements and amendments when models decay over time.
- Formatting is an issue. Standardization and user-friendliness are required whenever working with local spreadsheets, CSVs, and other data repositories.
April 05, 2022
Great place for an automated AI and TS modelling with very nice training programs especially for (junior) analysts
- Feature engineering
- Time series
- Forecasting
- An on premise solution instead of cloud for use with very sensitive data
- Integration with MS Azure
- Classification
April 01, 2022
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
March 29, 2022
A Good AI Tool
- Modeling
- Easier than others
- Well explained
- Courses in Spanish
- Cheaper
- Not always intuitive
- Customer support
- Customer scaling up
- Give visibility on what other customers are doing in other industries