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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 43)
Companies can't remove reviews or game the system. Here's why
Ross Skelton | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
DataRobot outperforms SPSS in terms of speed and efficiency. While I continue to rely on SPSS for tasks like data cleanup and data engineering, I have noticed that DataRobot significantly excels when it comes to building models. Its speed and user-friendly interface make it the preferred choice in this specific context. Although I'm not sure if SPSS also has modeling capabilities, for this particular use case, DataRobot's superior performance makes it the go-to tool.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Comparable to H2O but my company chose DataRobot so that's why I'm using it. Pricing is reasonable and the feature coverage is probably better from an end-to-end perspective. DataRobot has less flexibility than Amazon SageMaker but is a lot simpler to use, which again for a small team is beneficial and a force multiplier in the short term until the organisation matures and invests in largest in-house IT teams to support the AI programs.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I have not used any comparable products. Compared to using commonly available open source libraries for machine learning, DataRobot automatically manages the partition of data, pre-processing of data, construction of processing pipelines and the evaluation of models on an equal basis. The time savings compared to constructing ones own processes are enormous.
August 17, 2022

DataRobot delivers

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Robots vs. Robots. It was necessarily me who selected DR instead, but having used both, I find that DR is better suited to our needs and is just more accessible. You don't need to be a complete expert in the field to be able to use DR's platform, more just being able to understand concepts.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
When we ran the purchase process, two factors were critical: price of course and the customer success service as we were new in this datascience world. H2O and DataRobot were the finalists (Dataiku too expensive for our needs), but we decide to choose DataRobot as they give us “free” dedicated datascientist sessions per week (1hr) to helpus with adoption, Q&A of platform and most important, discuss the best approach for each use case.

Score 10 out of 10
Vetted Review
Verified User
Incentivized
DataRobot provided the perfect balance of features and price points. The other tools we tried were very expensive and provided extra things that we really didn't need. Some of the other tools also required you to host them on a server at your institution or pay for their cloud service in addition to getting the software. This added to the expense without adding any additional functionality.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We consistently return to DataRobot for its ease of use and ability to get the job done without major hurdles. Thus far, we just haven't found that in other products.
H2O.ai (Driverless AI): several test models did not complete, and H2O.ai team could not explain why.
Sagemaker: Much easier if you're already experienced with the AWS ecosystem; otherwise, good luck, you'll need it.
Kortical: Not quite ready for prime time, though we liked the direction they were going
KNIME: great for data analytics, not so deep on the modeling side
Score 8 out of 10
Vetted Review
Verified User
Incentivized
At the time DataRobot provided a more automatized and complete variety of pre-trained models and ready-to-use solutions.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We've just had an intro but DataRobot is much more specialized in predictive analytics. Dataiku seems for me a platform that aims to cover a little bit all the steps or processes of a D&A team and with this approach, you may be doing a trade-off in quality and power
Ignacio Vilaplana | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
ResellerIncentivized
DataRobot is the product that seemed to have the most professional platform all in all. It was also the best one for the second part of the model development, which is monitoring what the model is doing in production and governing what that model was doing, giving us the opportunity to detect errors quickly.
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