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
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Comprehensive Platform
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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
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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
(1-4 of 4)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.
- 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/AN/A
- Visualization
- 80%8.0
- Interactive Data Analysis
- 90%9.0
- Interactive Data Cleaning and Enrichment
- 100%10.0
- Data Transformations
- 80%8.0
- Data Encryption
- N/AN/A
- Built-in Processors
- 100%10.0
- 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
- Flexible Model Publishing Options
- 90%9.0
- Security, Governance, and Cost Controls
- N/AN/A
- Increased Revenue: With DataRobot, I was able to identify items that should have more inventory which gets us more sales for those items instead of being out of stock on them.
- Fewer Inventory Expenses: DataRobot also identifies items where we are overstocked and should not be buying more inventory for them.
- Better Vendor Relationships: DataRobot gives us more accurate forecasting, which allows us to share more accurate information with our vendors for items we would like to see them stock more and allows us to give them more accurate estimates of how many units we plan to purchase from them for the next months/year.
- Inventory Management
- Purchase Reporting to Vendors
- Projected Revenues
- None yet
- None yet
- Product Features
DataRobot Makes My Life So Much Easier
- Automated machine learning
- Measuring feature impacts and effects
- Producing live probability scores
- Error notification - it can be challenging to identify the cause of errors
- Exporting data from the GUI is not possible
- Complicated commercials which regularly change
- Connect to Multiple Data Sources
- 90%9.0
- Extend Existing Data Sources
- 40%4.0
- Automatic Data Format Detection
- 60%6.0
- MDM Integration
- 60%6.0
- Visualization
- 40%4.0
- Interactive Data Analysis
- 30%3.0
- Data Transformations
- 50%5.0
- Built-in Processors
- 90%9.0
- Multiple Model Development Languages and Tools
- 100%10.0
- Automated Machine Learning
- 90%9.0
- Single platform for multiple model development
- 90%9.0
- Self-Service Model Delivery
- 80%8.0
- Flexible Model Publishing Options
- 70%7.0
- Security, Governance, and Cost Controls
- 90%9.0
- We have been able to cut costs by not buying leads that we will not be able to sell on
- We have been able to deploy loan eligibility reporting which brought in new business
- We have been able to improve the performance of our credit providers and our partners which has helped to retain business
- Generating loan eligibility scores
- Filtering out low probability applications
- Maximising Earnings Per Referral
- Insight into credit score feature effects
- Deploying to other territories
- marketing decisions
- Combating customer churn
- Product Features
Analyst's take on DataRobot as an analytical accelerator
- The breadth of models available to use is helpful and allows much more analytical power than programming them all yourself.
- The built-in variable diagnostics are helpful when testing large variable sets to see which perform the best.
- Many of the adjustments on the models are easy to use/it's easy to re-run and kick off new models as you want to try new things.
- Make it easier to add one feature to a feature list. select all, go to the overall data tab, then select the new ones and create a new list. Something like [adding] one variable or a selected set with an existing list and [creating] a new one.
- Easier access to project specs like target/offsets/etc. from the data tab
- switch to toggle on and off generation of feature impacts/effects when you start new models.
- Ability to enable accelerate analytical capability of the organization by allowing analysts who aren't able to model from scratch still produce high-quality predictive models with data robot.
- Ability to rapidly test large numbers of variables in models efficiently to figure out which works best.
- The connectivity and API's to other data sources/etc. integrate well once set up
- Connect to Multiple Data Sources
- 80%8.0
- Extend Existing Data Sources
- 90%9.0
- Automatic Data Format Detection
- 70%7.0
- MDM Integration
- N/AN/A
- Visualization
- 80%8.0
- Interactive Data Analysis
- 80%8.0
- Interactive Data Cleaning and Enrichment
- N/AN/A
- Data Transformations
- N/AN/A
- Data Encryption
- N/AN/A
- Built-in Processors
- 80%8.0
- Multiple Model Development Languages and Tools
- 80%8.0
- Automated Machine Learning
- 80%8.0
- Single platform for multiple model development
- 80%8.0
- Self-Service Model Delivery
- 80%8.0
- Flexible Model Publishing Options
- N/AN/A
- Security, Governance, and Cost Controls
- N/AN/A
- Without much exposure to the software, we were able to turn around and produce a model capable of helping make business decisions in ~2 weeks. That likely would have taken months had it needed to be created manually.
- It significantly helped our team be able to split out a large-scale modeling project and allow several analysts and data scientists to work simultaneously and with some help of integration to AWS/etc. was able to work well to spread out the modeling burden but allow it all to be combined back together fairly easily.
- Analytical accelerator
- It worked as intended by allowing several people to work on a large scale predictive modeling project simulatenously.
- More data cleaning and processing in data robot itself vs elsewhere
A Review of DataRobot.
- DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
- Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
- It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
- The importance of realizing that most software programming in the Predictive Analysis genre is not 100% ideal cannot be overstated. It's tough to locate a program that would fulfill every need of every business type and size. Though DataRobot is about as close as it gets, it may not be for every industry.
- Though DataRobot helps to capture six sigma techniques, knowledge, and expertise of the best data scientists in the nation, it may end up causing rifts in intercompany personnel due to fear of job loss on a long term scale.
- Though fairly priced for a firm of our size and capability, it may be out of market reach for smaller companies at this point. It's important for every firm to understand exactly what they need and can afford.
- DataRobot can run multiple experiments at the same time. This helps to minimize time spent on any given experiment.
- DataRobot helps to get rid of bottlenecks by yielding various ways to enact completed models of prediction.
- I consider the Return on Investment high. APIs for real-time scoring have saved us many dollars and time.
- Automation on a machine-learning platform eases the most mundane tasks that an analyst may have to do in order to make decisions.
- DataRobot has a platform that is designed to be less error-prone and faster than other programming, thereby addressing the shortage of data scientists available in the market.
- Predicative modeling is utilized in presentation of new data in order to make probability-based predictions in the market. These use cases are based on the given patterns.
- Self-service machine learning is one way we gauge success. We have found that even non-analysts in our firm are more than capable of undertaking intense artificial intelligence projects. We did not expect this.
- We were pleasantly surprised by how accessible, the Customer Facing Data Scientists were/are with DataRobot. Very present for email or phone conversation.
- Scope of work and framing issues have been innovated for us by data science projects as well as great, above-standard communication.
- Increased organizational complexity and pronounced artificial intelligence in the form of predictive modeling.
- We are interested in the acceleration packages, as well, in order to better educate most of our staff.
- Our end game here is to encompass this very pervasive software and fundamentally transform our current models, in a way that positively impacts earnings.