DataRobot

DataRobot

Customer Verified
Top Rated
About TrustRadius Scoring
Score 8.6 out of 100
Top Rated
DataRobot

Overview

Recent Reviews

Overselling by saledepartment

1 out of 10
March 23, 2022
We do not use DataRobot anymore. It was oversold by their sales guy. They have fantastic data scientists who solved the use cases we had, …
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DataRobot is fabulous

8 out of 10
February 12, 2022
We use DataRobot to predict and classify tickets in our helpdesk system. This has helped to save considerable time in having to manually …
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Reviewer Sentiment

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Awards

TrustRadius Award Top Rated 2022

Popular Features

View all 16 features

Automated Machine Learning (34)

9.2
92%

Automatic Data Format Detection (34)

7.8
78%

Visualization (34)

7.8
78%

Interactive Data Analysis (33)

7.8
78%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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What is DataRobot?

The DataRobot AI Cloud 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…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Alternatives Pricing

What is Azure Machine Learning?

Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

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Unavailable

What is Dataiku DSS?

Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.

Features Scorecard

Platform Connectivity

7.7
77%

Data Exploration

7.8
78%

Data Preparation

7.7
77%

Platform Data Modeling

8.5
85%

Model Deployment

8.3
83%

Product Details

What is DataRobot?

The DataRobot AI Cloud 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 Cloud 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

Decision FlowsNo Code App BuilderAI AppsAutomated Time SeriesMLOpsModel InsightsVisual AIPrediction ExplanationsBias and FairnessCloud-Hosted NotebooksData PreparationLocation AI

DataRobot Videos

DataRobot Downloadables

DataRobot Integrations

DataRobot Competitors

DataRobot Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish, Spanish, French, Korean, Japanese, Portuguese

Comparisons

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Frequently Asked Questions

How much does DataRobot cost?

DataRobot starts at $0.

What is DataRobot's best feature?

Reviewers rate Automated Machine Learning highest, with a score of 9.2.

Who uses DataRobot?

The most common users of DataRobot are from Mid-sized Companies (51-1,000 employees) and the Financial Services industry.

Reviews and Ratings

 (50)

Ratings

Reviews

(1-25 of 38)
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Score 8 out of 10
Vetted Review
Verified User
Review Source
Exploratory data analysis including time series as well as forecasting and building prediction models.
  • Feature engineering
  • Time series
  • Forecasting
  • An on premise solution instead of cloud for use with very sensitive data
  • Integration with MS Azure
  • Classification
Great time saver for quick exploratory analysis or testing ideas and possible solutions. Not so good for working with very sensitive data or when additional data anonymization is required.
Score 8 out of 10
Vetted Review
Verified User
Review Source
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
From a credit risk perspective, I think DataRobot is very useful to work on scenario assessments. For example, to identify the worst possible scenario in a default assessment.
Our company had a dedicate scientist ready to answer any question, no matter the degree of complexity and the overall mathematical proficiency.
March 29, 2022

A Good AI Tool

Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
I have been using DataRobot since 2020, and they have 4 kinds of people that can help you, and they, for sure, help you. Support helps you with utilizing the tools offered. The key account manager can assist with creating contracts. The money-value data scientists help employees use the tool. Engineers are the deployment experts connecting DataRobot with your company.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We use DataRobot to build data products such as predictive models that are helping the business to move the needle. We use them mainly to adapt consumer experience now that PMI has become a consumer-facing company (it was not the case before IQOS) This year we are starting a new way of engaging with the business to make them part of the full process.
  • Customer support
  • Customer scaling up
  • Give visibility on what other customers are doing in other industries
Datarobot is a super powerful and useful tool for all data science teams, especially for those teams which are not specialized but where all team members take care of data products from A to Z ( from data foundation to prescriptive analytics) as the tool is democratizing AI. It is very useful as well to gain time, you do not need to spend hours and hours coding as the platform does it for you already. During the training they are providing, you can experience on your own, that regardless of all the manipulation you can do to the models on your own, you will never beat the machine
Score 10 out of 10
Vetted Review
Verified User
Review Source
DataRobot is our data science platform for building ML models and a Dev Ops environment for running models. But we also use the best practice processes and governance that DataRobot gives us. We are interested in providing the commercial value that DataRobot enables.
  • Data Science ops
  • Support
  • Auto ML
  • yet to find a good example
speed in which you can get model to market ability to mange manage in production
Score 9 out of 10
Vetted Review
Verified User
Review Source
Acting as a credit broker, I use DataRobot to allow me to rapidly build and deploy machine learning models to predict the likelihood that a loan application will be accepted by a lender; that the consumer will engage with the offer; that the consumer and lender will agree terms and a loan will be funded. Identifying populations with a low probability allows me to reduce costs to lenders in scoring loan applications; and improves the earnings per referral that our partners use to measure our performance.
  • 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
DataRobot is great when you have a structured flat dataset and want to predict either regression or categorization. It is not as well matured in dealing with nonstructured data, images, audio recordings, etc. It is great if you can define your features outside of the software, but it is not possible to make changes to the data once you have uploaded, including performing calculations on the data (e.g. adding two features together).
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We are mainly using it as a tool to develop ai knowledge and try to take our first steps. For example product recommendations, delivery time prediction, and sales predictions. We are still extremely new and are not currently running a system in live production. But we are seeing the value and are making progress.
  • User Interface
  • Explainability
  • Speed
  • Suitable for extremely unexperienced users
  • Pricing Model
  • Information on in production solutions at similar customers
If there is some experience with data and especially if there are enough resources and time available for users to invest in the projects. It is unsuitable as another side-project that can only have minimal resources. Ideally, there are already some ideas for concrete ai cases that could use the company.
Amar Kumar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
DataRobot is used for training several models, evaluating the trained models, deploying them in production, and tracking the result on day to day basis. DataRobot has excellent MLOps support. We are utilizing DataRobot for demand prediction (time-aware models). In another project, we utilized the predictor and optimizer applications for demo purposes.
  • It can do feature engineering very well.
  • It can explain the model and model predictions very well.
  • The deployment and model management is very easy.
  • It tries exhaustive list of models before finalizing one.
  • It does not provide enough opportunity to modify the pipeline.
  • Once the control is given to datarobot, there is little that a data scientist can do.
  • DataRobot can generate explanation for why a model was
  • Model retraining automation is not very flexible in Datarobot
Appropriate When we have a very straightforward data science problem, which needs a scalable solution, then it is a suitable solution. Suitable for time-aware models, DataRobot can created many features. Less Appropriate When the data science problem is challenging and requires lots of fine-tuning, the DataRobot is not a good solution.
K Aswini Kumar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
DataRobot is really useful for data scientists to start immediately and allows basic asks such as hyperparameter tuning, optimization of parameters, and choosing the right model easily. In the current organization, we use to production the solution and really helped reduce the execution timelines around the projects
  • Hyper parameter tuningoptimization
  • EDA
  • Feature generation
  • Improving model accuracy metrics
  • Improve on Automation
  • Price points can be improved
We used for some of our business problems to get the most appropriate features, producing the solutions and ML scenarios
Ignacio Vilaplana | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Review Source
We use DataRobot to prototype new models that might solve business problems with the data that we have in our data warehouse. The models that have a positive return and fit in our business process are then evaluated and documented, and presented to a commission that approves them. Once they are approved, we also use DataRobot to deploy those models in production and monitor and govern the model in production, measuring the value that it is generating through time.
  • Quickly solving data science problems
  • Monitoring models in production
  • Compare different approaches in solving a problem with AI
  • Integrating the capability to modify with python the whole pipeline
It is especially best suited for companies with many AI use cases due to its rapid prototyping. It is also beneficial when the data science team is not big since it can multiply the productivity of the team, allowing each data scientist to work on more than one project at the same time, leveraging the platform speed. Also good when the data scientists are not experts and can benefit from the guardrails that the platform offers.
Score 1 out of 10
Vetted Review
Verified User
Review Source
We do not use DataRobot anymore. It was oversold by their sales guy. They have fantastic data scientists who solved the use cases we had, but from there we have not really used it. It turned out it was not the platform that solved the issues but the preprocessing step outside of DataRobot using a python package to do some specific calculations. The main drawback is the pricing structure. so that is what we are doing now. We have tried to do internal roadshows to see if other parts of the organization could use it, but no luck yet.
  • Fantastic data scientists
  • solving the problemet
  • not so easy to use when you want a model in production
  • timeseries data analyse
Score 10 out of 10
Vetted Review
Verified User
Review Source
DataRobot supports prioritized AI/ML use cases, which range from predictive models around financial performance to employee-focused use cases.
  • Platform simple and intuitive.
  • Wonderful support.
  • Product roadmap well managed.
  • Socializing and promoting how their customers are using the platform and deriving value or making an impact.
DataRobot is well suited when the business has really defined its use case well and you have internal SMNE's/resources to support the use cases. In addition, you need people with some data science and/or analytics knowledge. It is less suitable when the above scenarios don't exist.
February 12, 2022

DataRobot is fabulous

Score 8 out of 10
Vetted Review
Verified User
Review Source
We use DataRobot to predict and classify tickets in our helpdesk system. This has helped to save considerable time in having to manually classify tickets. We have also used the DataRobot/Uipath connector to allocate the automatically classified tickets into the agents' queues without having them manually pick up the tickets for resolution.
  • Use of keys words
  • Accurate prediction of ticket classes
  • Integrates well with UiPath RPA
  • The user interface can be improved
  • Add multi factor authentication to improve security
  • Change the pricing structure to make it more cost effective
Predicting customer churn of our top 30% of our referring doctors and the effects of them doing so Predicting IT service tickets using keyword analysis, so as to save time from having to manually select different categories and sub-categories, eliminating delays for tickets to be picked up by service desk agents.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We use DataRobot for predictive analytics. We predict student outcomes (to maximize), student exits (to minimize), and such key business priorities based on their previous performance, socio-economic attributes, behavior, wellbeing, school attributes, community attributes, etc. Over 50 input variables in one regression model. Similarly, over 20 variables in another logistic regression model. Use cases are emerging in technology and facilities areas too.
  • Validated algorithms with a wide, composite range
  • Transparent analysis
  • Excellent documentation
  • User friendly, interactive visualisations
  • Connection to Tableau
  • Dark background interface is harder to read
  • Better explainability of features - feature importance vs feature impact etc.
  • Need for an App for what- if analysis
Having DataRobot is like having 100 Data Scientists quietly humming away behind my screen. And, the great thing is these 100 Data Scientists seldom argue and actually agree !! "They" are very efficient too:) Automated Machine Learning is here to stay - it's like outsourcing analytical knowledge and insourcing business knowledge - the best of both worlds for a humble school system with over 43000 students.
Score 9 out of 10
Vetted Review
Verified User
Review Source
An amazing data analytics platform. Cloud-based solution. User-friendly dashboard. A lot of customization can be done based on business requirements. Gives good output from the raw data. Lots of data fields are available. Nice chart functionality. Different roles are available. We can use it on Prem deployment also. Support multiple data formats. The use case was to increase the visibility of the customer current services which they are using.
  • Easy of access
  • Customized dashboard
  • Ease of integration
  • Support multiple data formats
  • Various templates and reports available
  • Data center in India
  • Detailed Audit trail
  • Integration with inhouse applications
It is good for bfsi industry to use this platform to find details regarding customer needs and their onboarding journeys. Also useful to find out the problem areas from where the organization is not getting the required revenues that could be cross-sold, digital sales, partner sales .etc. This platform may not be useful for tech-related statistics
manish karan | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
DataRobot is super incredible with data engineering. It has a lovely UI. It's simple to deploy and use. Great with real-time reporting by intelligence.
  • It's a magnificent software with business intelligence.
  • It's excellent with instant access of data.
  • Efficient for it's ease of deployment.
  • Intuitive UI.
  • It requires programming skills to use.
  • It's magnificent with being able to collect and manipulate database.
  • Excellent for tracking data with maximum protection.
  • It's great for business intelligence.
It's very superb for business intelligence, and making business decisions. It has intuitive UI, and it's excellent with data consistency.
Score 9 out of 10
Vetted Review
Verified User
Review Source
DataRobot in my organization is used to automatically hibernate alerts to reduce the investigation load for anti-money laundering activities. First, the DataRobot was fed with training data and once the model was trained, we feed each month's data into DataRobot and based on the model it is able to hibernate up to 25 percent of the alerts resulting in less caseload on the investigators. DataRobot is very convenient to use and even if someone doesn't have any background knowledge about machine learning and zero programming experience can still use and deploy machine learning models with ease.
  • feature engineering
  • convenient to use
  • track the performance of the model on a regular basis
  • ability to tune or define the objective function
  • download results step wise
for scenarios where plenty of data is available and a decision based on data is to be made. DataRobot is less suitable for unsupervised learning and scenarios where enough data is not available.
Nathan Patrick Taylor | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use DataRobot to address several uses cases across clinical, financial, and operational areas. In the clinical setting, we are looking to predict specific outcomes, like readmissions, in an effort to adjust reduce the readmission rate. The operations team uses outputs from DataRobot to forecast census levels that potentially impact our financials.
  • Rapid model building
  • Excellent model explanations
  • Easy to use API
  • State-of-the-art model management and MLOps
  • Superb UI
  • Scenario building and What-if analysis
  • Add prescriptive analytics capability
  • Tighter integration with visualization tools
The DataRobot platform can create numeric predictions, binary and multi-class predictions, and time-series forecasts. Like any ML problem, DataRobot works best when your ML problem is well-framed and the dataset is formatted appropriately. DataRobot has built-in guardrails to prevent novice or inexperienced ML users from creating nonsensical models. The platform does a great job of presenting visibility into how the model determines a prediction. The explainability embedded in the platform makes it easy for non-data scientists to understand the models that were built.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Datarobot is one of the best AutoML tools out there with many SOR models. It has helped our organization in realizing the potential of AI and AL. It is really easy to use and understand even for a budding ML engineer or data scientist. They also provide the best support and continuous improvement to the tool.
  • State of the Art models
  • Easy deployment and maintenance
  • Awesome support and documentations
  • Data Prep can be integrated as a part of app instead of additional service
  • Unsupervised learning can be improved
  • Can provide boiler plate use cases like NLP and chatbot directly in the tool
Datarobot is one of the best AutoML tools out there with many SOR models. It has helped our organization in realizing the potential of AI and AL. It is really easy to use and understand even for a budding ML engineer or data scientist. They also provide the best support and continuous improvement to the tool.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We have a multi-classification problem and a relevancy problem we are using DataRobot to provide us a model for.
  • Extremely quick to provide prod ready models.
  • Super easy to maintain the models in a production environment.
  • Excellent audit trail
  • Offering a way within DataRobot to link multiple models as a single stack. Were using multiple binary classification models and we needed to link them through our own code. For us, it was easy since we were all programmers, to begin with, but for more business-oriented people, it would have been harder.
DataRobot gave us models we could work on within a matter of days completely solving the pure machine learning part of the equation. People in upper management still have a hard time grasping how because of your tool we no longer need help with the AI part of things. I keep referring to your tool as a beast that needs to be fed period.
Score 9 out of 10
Vetted Review
Verified User
Review Source
I am one of several analysts at our organization who uses DataRobot for predictive modeling in an insurance context. Several of us are all working on models that are subsets of a large data set that we are hoping to use to help with future pricing efforts.
  • 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.
It is well suited for analysts like myself who are familiar with predictive modeling and understand some of the behind-the-scenes aspects but aren't to the point where they could program a predictive model by themselves from scratch. I think I've had the most success with it as an analytical accelerator. If you have no modeling experience or aren't familiar with some of the concepts, it will still work, but it could be a bit overwhelming/you might lack the knowledge to make intelligent business decisions with the results. On the opposite end, it can definitely help seasoned modelers who are able to do things from scratch themselves, but it can provide a hindrance if there are specific tweaks you want to make that aren't available in data robots or are two hard to decipher from the back end.
December 21, 2021

great team and platform

Score 10 out of 10
Vetted Review
Verified User
Review Source
At MCA, we are continuing to find new and unique ways to integrate modeling into our work effort and client interactions. We are still early in our thinking and maturity in the modeling space, the potential is high and we appreciate the partnership and service we get from the DR team.
  • Availability and support has been high from the beginning
  • partnership
  • real time problem solving
  • nothing yet to comment on specifically
For companies that do not have specific in-house data scientists, the DR platform and support system is exactly what is needed to get started and integrate modeling as a supporting capability
December 17, 2021

Support and experience.

Score 8 out of 10
Vetted Review
Verified User
Review Source
Used for research and prediction. Broad and across all aspects of our business. Helps us make use of historical datasets to better calibrate our models.
  • Support for new users to get up to speed.
  • Packaging up and supporting libraries.
  • Knowledge of our business context.
  • Cleaner ways to upload / integrate large datasets, particularly in linux.
This is a good way to take open-source tools and add in professional support to take some of the guesswork out of which libraries to use. The ability to apply multiple tools in parallel and rank the results is particularly effective for us.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Accelerating predictive model development through automated machine learning and providing a seamless and very user-friendly ability to deploy models instantaneously are the most important drivers of success we have gained from [the] use of DataRobot. We have a live prediction model that handles hundreds of predictions a day, with turnaround times of
  • Comparing [the] accuracy of predictions on the population sample between hundreds of different model types and permutations.
  • Variable reduction through impact scores for predicting the target variable.
  • Automated deployment and hosting of production models for live business predictions.
  • Simpler, more intuitive project sharing between users (e.g. notebook-type solutions)
DataRobot is well-suited for exploratory analysis that requires [the] reduction [of] thousands of variables to a handful of most impactful for predicting the target. DataRobot excels at serving complex model building where accuracy trumps interpretability, as well as offering the ability to manually build more interpretable, less complex solutions.