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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

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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 37)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
Working in the banking industry can be exceptionally challenging due to its sensitivity and fast-paced nature. Our analytics department shoulders a substantial workload as it handles vast amounts of data. Fortunately, DataRobot has played a pivotal role in alleviating this burden. DataRobot not only saves us a considerable amount of time and effort but also provides us with peace of mind. We place our trust in DataRobot to deliver precise and accurate recommendations based on our data.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Yes. I would recommend using DataRobot for any new organisation that has a skeleton crew in Data Science and are very early in their technology maturity level. It removes the costs related to engineering and MLOps and allows the scientists to focus on target design and model review rather than configuring for and executing the training and evaluation process which, outside of data cleaning and ETL, is the largest time consumer that should be an automated and reusable pipeline for 95% of scenarios.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
it will be very useful for one-stop shop for data processing and modelling. Since it is on cloud platform, it is also accessible anytime, anywhere and not anymore dependent on on-premise server which is more prone to access issues.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Time To Market improved a lot; we deliver new models faster. We can delegate some parts of the ML process to DataRobot itself, which is ideal since we are a small team. Moreover, we are less dependent on other teams since we don't have to manage servers and/or machines on our own. We don't loose time debugging Python issues during the training etc.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Having a single platform to fit, evaluate and run all of our models for credit analysis was crucial to the success of the project. Constraints of time and personnel would have been prohibitive were it not for the automation and comprehensiveness of the DataRobot platform. The ongoing routine of processing data and refitting models now requires just a few hours of time.
August 17, 2022

DataRobot delivers

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Personally, things go faster. I'm able to get at answers that I couldn't reach before, and at a fraction of the time. While it does take a bit to train up models with the data sources we're able to import, it's much better than not being able to do it at all or doing the modeling manually. It also allows for more team members to contribute even if they don't have the same level of technical skills.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The first and very important thing was the user-friendly interface that allow us to accelerate the adoption of a new platform within our organization. Once the adoption was engaged, we started to support our business areas in a more understandable and faster way in order to contribute in the definition of a mid-term & long-term commercial strategy.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We have benefited by having increased four-year graduation and one-year retention rates for our students. Through the use of the tool, we have also been able to gain a greater understanding of the factors that pose a risk to student success within our institution and the relative effects of each. This has enabled us to take appropriate action and prioritize interventions.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We only use the core product that DataRobot originally offered. Since their inception, they have acquired and integrated various companies for various purposes: ML Ops, Neutonian for time series model, Paxata for data hygiene, and smaller ones. We have tried several of these out but didn't find that they were up to the level of the core supervised learning product, so we don't use them. DataRobot is a plug-and-play system for us, and it needs to be, should their prices get out of control--in this way, we can just plug in a competitor without a massive transition cost.
Javier Mendez | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • 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 and financial standpoint.
  • The platform has allowed us to rapidly deploy models, introduce new loan products and quickly re-train new models based on empirical data.
  • Easy deployment, connection, and launch to APIs.
March 29, 2022

A Good AI Tool

Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is easier to have all of the databases together in the same app. You have it all in the same place and later, you can make tests easier because it is all there. There is no maximum amount of space, so it is a good place to have a repository with the information needed.
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