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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How DataRobot Differs From Its Competitors
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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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- Free/Freemium Version
- Premium Consulting/Integration Services
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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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Reviews and Ratings
(84)Attribute Ratings
Reviews
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April 01, 2022
Awesome app! Very user friendly, almost like having a junior data analyst in the team.
DataRobot is a very useful tool to quickly look for interactions and relations between different features. It serves as a comfortable way to engineer features and rapidly interpret behaviors in between specific attributes.
- Feature engineering
- Performance and velocity estimation
- Overall management of several models at once
- Integration with external data sources could be easier
67.5%
6.8
80%
8.0
80%
8.0
72.5%
7.3
45%
4.5
- Time saved to perform lengthy assessments for decision making
In general, it saves much time by providing a digital snapshot of your data. I believe refinement is still necessary, but it can save weeks of work.
Super fast and easy.
Not sure to be honest. We have a dedicated scientist, I guess that is premium. Anyway, the colleague was always very available and extremely knowledgable. Also, we met him in person, that helped build a personal connection.
No
Sure. Once I tried to find a relation between two features, neverthless I was obtaining the result I expected. I finally reached out to DataRobot to figure whether the system was not understanding my input or if there was a flaw in my line of reasoning. It turns out my reasoning was flawed.
March 29, 2022
A Good AI Tool
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
80%
8.0
85%
8.5
90%
9.0
85%
8.5
80%
8.0
- 2% Margin
- More control
- Multi-variant analysis - company information
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.
It is difficult to start, but later, it is a good tool. You need to do 1 course every 3 days, and also have someone from DataRobot or an external consultancy explain to you and help you learn how to use the tool daily. DataRobot helps you a lot because they want your success.
I have only used DataRobot, so I cannot assess which tool is better in the market.
I had purchased the normal support. I think all the companies have the same support. The good thing is that they have a 24/7 support center where you can ask anything that you need and they reply to you as quickly as they can. Also, if it is difficult to answer by email, you can make a call.
No
They have a 24/7 support center whom you can contact by email and you can even make a video call. They provide good data scientists with really good knowledge of the tool, who can help you, and who also speak your language. They are a trustworthy company leading the AI world. It is "easier" to learn than others like it. Overall, a good purchase.
December 09, 2021
DataRobot makes us use and understand models in real business easily
We solve different kinds of business problems in the financial and retail industries. We are very satisfied with DataRobot´s capabilities: data prep of large volume of data, model creation and evaluation and deployment and monitoring . We solve use cases like collection, risk, audit, scoring, demand prediction, next best offer, price optimizing. We help analysts and data scientists from large banks and retailers.
- Data prep: cleaning large data, creation of data flows and automation
- Model configuration and selection
- Deployment and monitoring models
- Documenting and explaining the "why" of the models so understanding and explaining to business is made easy.
- Data Scientist facing customers DSFC. They are very good but I think there should be more or include start-up services to clients more accessible.
- Integration of the different tools. DataRobot had acquired several companies and integrating them should not be noted.
- Automatic data mining
- More algorithms and facilities for anomaly detection.
- Easy of use
- Community and documentation
- Support
- A lot of use cases
80%
8.0
75%
7.5
92.5%
9.3
95%
9.5
90%
9.0
- We build a collection model, severals in fact, that gave of ROI of 400%
- We created a recommendation model that grow sales in 100% in the first 2 months of implementation
Alteryx is like a baby, you can play nicely with it but when you want to baby to get serious, it remains child.
With Datarobot you can get from problem to production very, very fast.
TCRM is complicated to use, it is not for final users to create model or participate creating models. Also it is exclusively for salesforce. Takes a los more time to prepare data and create models. However the results in dashboards are awesome.
With Datarobot you can get from problem to production very, very fast.
TCRM is complicated to use, it is not for final users to create model or participate creating models. Also it is exclusively for salesforce. Takes a los more time to prepare data and create models. However the results in dashboards are awesome.
No. The normal support satisfy our initial needs also because premium support is expensive right now. As we put more use cases into production we are planning to buy premium support. We still do not have real time predictions, when we sum up more use cases and more people becomes users of prediction results we will be contracting premium support.
No
Right now. We are installing on prem.
Data Scientist Facing Customer are exceptionally well trained and enjoy solving problems for the client. We did have several interactions and all are 100% worthy.
Data Scientist Facing Customer are exceptionally well trained and enjoy solving problems for the client. We did have several interactions and all are 100% worthy.