Skip to main content
TrustRadius
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…

Read more
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 …
Continue reading
Read all reviews

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 (53)
    9.3
    93%
  • Single platform for multiple model development (50)
    9.0
    90%
  • Automatic Data Format Detection (50)
    8.4
    84%
  • Visualization (50)
    8.0
    80%

Reviewer Pros & Cons

View all pros & cons
Return to navigation

Pricing

View all 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

Would you like us to let the vendor know that you want pricing?

111 people also want pricing

Alternatives Pricing

What is Mathematica?

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

What is Rational BI?

Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a…

Return to navigation

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

8.4
Avg 8.6
Return to navigation

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(83)

Attribute Ratings

Reviews

(1-6 of 6)
Companies can't remove reviews or game the system. Here's why
Score 9 out of 10
Vetted Review
Verified User
Incentivized
As Australia's largest radiology business, we use it as part of our sales and outreach program to identify referring doctors who we need to prioritise contact with for a variety of goals including retention and growth. The models trained and deployed on DataRobot assist with this prioritisation process. The output of the model is effectively a risk or opportunity score on how likely a doctor will either increase or decrease in referrals to our clinics if we do not check in on them.
  • 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.
Most problems I've encountered in my career can be framed as supervised machine learning problems, and adequately solved with a fairly common workflow and popular ML model families such as xgboost and lightgbm. DataRobot is one of the most low barriers to entry but still complete solutions I have encountered. I appreciate the autopilot system and found that it is an excellent starting point for a project and in some instances running it in comprehensive mode is sufficient to arrive a deployment-ready model that can fit into a BAU. Even entry-level data scientists would be able to hit the ground running with DataRobot and produce a lot of value for their organisation. The only aspect that might limit utility is data preparation, especially domain-specific requirements and sensitive data that cannot be uploaded in a raw form to a cloud hosted service outside of Australia due to privacy concerns.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
DataRobot builds machine-learning models to predict creditworthiness of bond issuers.
  • 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.
DataRobot saves the user an enormous amount of time by automatically implementing best practices related to feature management, partitioning data and evaluating models. DataRobot also provides a "learn on the job" experience in that users with limited knowledge and experience can immediately get useful results and then learn later about the technical details of modeling and handling data.
March 29, 2022

A Good AI Tool

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot as scoring to underwrite new policies. It is an additional help to know who will be a good insurer and who will not. You can use DataRobot to predict something that you need. Our business problem is that it is sometimes difficult to know who is going to have a claim and who doesn't.
  • Modeling
  • Easier than others
  • Well explained
  • Courses in Spanish
  • Cheaper
  • Not always intuitive
It is well-suited when you can finally be able to work "easily" when you know how it works. It is not suited when you start to use the tool you need to contract a consultancy, but you have to know how to use it. Also, they have courses you can use, but you have to dedicate the time to study and learn.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use DataRobot to model and deploy AI solutions that are straightforward and do not require heavy pre-processing. We integrated this software into the toolbox of all our data scientists so that they are able to produce production-grade models in a very short time.
  • Automated modelling
  • Model deployment
  • Deployment monitoring
  • Time Series modelling
  • Integration between cloud-based solution and on-premise data
  • More support for NLP
- When business leaders ask for the fastest possible solution, it is the go-to platform. - When you are not experienced with a specific task and you want to test an array of possible models. - When you are not a fully devoted Data Scientist, and therefore cannot spend too much time on fine-tuning model hyperparameters.
Shanna Tellerman | TrustRadius Reviewer
Score 1 out of 10
Vetted Review
Verified User
We attempted to use DataRobot in our finance and analytics organization. We believed it would help with a few specific projects. Specifically we wanted to use DataRobot to help predict shopping conversion behavior for our customer base and to help assign the right designers to the right projects.
I would not recommend this software to a company that does not have a data science team and engineering team fully ready to support the integration and use.
August 17, 2018

A Review of DataRobot.

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are using DataRobot as a department-wide software system for analytics on predictability on the Information Technology sector of our firm. Mainly we are utilizing the program for best practices in order to assist in company-wide decision making. It has addressed various manpower issues by yielding a level of automation that eases use of machine learning tasks, basically by displaying helpful predictive models.
  • 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 is equipped to serve both cloud computing and on-premise work. Its comprehensive cloud module, channeled through Amazon sustains highly flexible machine learning programs. Lower than average costs are provided via cloud networking because there is no need to install hardware and the additional pricing that comes along with that. DataRobot assists in eliminating hassle by offering various methods of deployment in regard to predictive modeling. The program may not be appropriate for smaller startups of 20 or fewer employees, mainly because the exportable prediction code, and native batch scoring may not translate as well to a smaller firm.
Return to navigation