--- title: DataRobot Reviews meta_title: 'DataRobot Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 28 reviews by the users' company size, role or industry to find out how DataRobot works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 28 scale: '5' date_modified: '2026-06-15' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # DataRobot Reviews **Vendor:** DataRobot **Category:** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) **Average Rating:** 4.4/5.0 **Total Reviews:** 28 ## About DataRobot DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI. ## DataRobot Reviews ### 1. Fast, Insightful Automated Modeling with DataRobot **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about DataRobot?** I really like how quickly I can get useful information out of DataRobot. I can upload my data and start seeing results almost right away, which saves me a ton of time. The automated modeling is a big help because it tries different approaches for me instead of requiring everything to be done manually. I also appreciate that I can still understand what’s driving the predictions, so it doesn’t feel like a black box. **What do you dislike about DataRobot?** One downside is that it can feel a bit overwhelming at first. There’s a lot happening in the UI, and it isn’t always clear where to click or what to focus on, especially for new users. A more streamlined layout or a guided experience would make it easier to get started. Performance can be another challenge. Some processes take a while, particularly with larger datasets. which can slow everything down and interrupt the workflow. Overall, simplifying the interface, adding more transparency in certain areas, and improving speed would make a big difference. **What problems is DataRobot solving and how is that benefiting you?** DataRobot addresses how slow and complicated it can be to build and use machine learning models. For me, the biggest benefit is speed. I can go from raw data to something usable pretty quickly, rather than spending a lot of time testing things manually. It also makes it easier to get results without needing deep expertise, which helps me move forward with more confidence. ### 2. Incredible tool for quick raw data to insights **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2026 **What do you like best about DataRobot?** The interface is pretty easy to navigate. It also makes machine learning very accessible cutting down a lot of manual work. **What do you dislike about DataRobot?** There honestly doesn’t seem much to dislike but sometimes the number of features can feel a bit overwhelming. The learning curve takes some time. **What problems is DataRobot solving and how is that benefiting you?** It is definitely helping the with the manual work. Instead of spending weeks in writing codes, we are able to get accurate models in a short span of time. ### 3. DataRobot review for modeling data science project **Rating:** 4.5/5.0 stars **Reviewed by:** Shubham R. | Data Scientist - (Advance Data Analyst), Mid-Market (51-1000 emp.) **Reviewed Date:** October 20, 2023 **What do you like best about DataRobot?** It basically helps in deploying and modelling ML models. It is automated technology that helps us in data preprocessing, feature engineering choosing the best model and even hyperparameter tuning. It is time-saving and can handle large data. and always choose best model for our project. **What do you dislike about DataRobot?** it is costly and not as good as IBM Watson. Sometime it does not gives us the best model and we have to choose ourselves and also customization are limited **What problems is DataRobot solving and how is that benefiting you?** Time saving in choosing the best model and data pre-processing. ### 4. Customer Lifetime Value Predictions **Rating:** 4.5/5.0 stars **Reviewed by:** Nikolaos T. | Senior Manager, Data Science **Reviewed Date:** January 18, 2022 **What do you like best about DataRobot?** Automated feature engineering, multiple algorithms trained, automated comparisons **What do you dislike about DataRobot?** Limited applications in probabilistic and neural network applications for Customer Lifetime Value prediction **What problems is DataRobot solving and how is that benefiting you?** Forecasting and automated outputs ### 5. Algorithmia - Eliminating the dependency on dev ops **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 28, 2020 **What do you like best about DataRobot?** Algorithmia has really put the power back in the hands of our data scientists and R&D developers. One of the key bottlenecks our organization faced was pushing code from dev into production, due to the time spent containerizing our code and the skillset required to do so. Especially in situations when we are constantly iterating and publishing new versions, the ability to containerize without support from dev ops is extremely powerful. **What do you dislike about DataRobot?** Two of the main areas for improvement would be parity with Azure repos and more business-focused reporting of platform consumption. We have stakeholders in both technical and business areas, and struggle to communicate this across teams. Additionally, SAS is a very popular language in our line of business, which Algorithmia does not currently support. **What problems is DataRobot solving and how is that benefiting you?** In addition to the bottleneck from code containerization, Algorithmia has also helped our team with knowledge transfer. Our organization is a large, global company and we have had difficulty in the past with sharing code across teams. Algorithmia has become a centralized platform for our teams to work. ### 6. Also able to develop automated algorithms for energy efficiency and saving applications **Rating:** 4.5/5.0 stars **Reviewed by:** Michael B. | Geschäftsführer, Small-Business (50 or fewer emp.) **Reviewed Date:** October 26, 2019 **What do you like best about DataRobot?** At Freiburger Energieoptimierung UG (www.frenop.de), DataRobot accelerated the pace of our analytics applied to energy efficiency and savings. Our team is integrated of Physicians who have a great knowledge of physical behaviors but we don’t have the time and the resources to develop a platform where we can analyze data from energy applications. DataRobot offers us automated solutions that are contributing for faster energy data analysis and also new discoveries with Machine Learning. The interface is very easy to use. **What do you dislike about DataRobot?** DataRobot showed us that we need to have more data in order to proceed with some routines. Now we are investing more in time in finding this data in the real world so we can put it into these machine learning algorithms. **What problems is DataRobot solving and how is that benefiting you?** It helping us with everything related to data visualization, data analytics, discovery of patterns, automation of behaviors, tracking of information, definition of different scenarios, controlling issues, performances, etc… ### 7. ML-Ops as a Service **Rating:** 5.0/5.0 stars **Reviewed by:** Luiz A. | CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** June 11, 2019 **What do you like best about DataRobot?** I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so on. We selected algorithmia as our tool for deploying our ML models. With this we could isolate the work load of publishing ang managing ML models as well as provisioning and infrastructure management. After we implemented algorithmia, our Data Science team was able to focus solely on devising the models and improving accuracy whereas all the job of making it available to customers was carried in the platform. As a final result we were able to move faster and have our solution deployed in the target schedule. **What do you dislike about DataRobot?** We use the Algorithmia marketplace. It is not a cheap solution. We tried to implement an intermediate version aiming to reduce costs but we could not find a feasible solution in terms of cost. Unfortunately we are moving our infrastructure do a Lambda Serverless Architecture in AWS. We know that we will lose much of Algorithmia simplicity but we are being forced to make this shift due to cost restrictions. **What problems is DataRobot solving and how is that benefiting you?** We are publishing ML models in Algorithmia marketplace and using it as internal APIs of our main solution. With this we solved the problem of having to manage and monitor infrastructure for our ML models. ### 8. Easily deploy and scale models as API endpoints **Rating:** 4.5/5.0 stars **Reviewed by:** Daniel B. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** June 24, 2019 **What do you like best about DataRobot?** Algorithmia provides a convenient platform for hosting hosting machine learning models. There is a public marketplace and a private enterprise version. The platform supports robust API documentation. It is an easy platform for data scientists or machine learning enthusiasts to work with. **What do you dislike about DataRobot?** Deploying an algorithm requires copying code into the Algorithmia platform. We prefer to structure our code as importable libraries to improve portability. **Recommendations to others considering DataRobot:** First write code, then add the code to the Algorithmia platform. Play around with the public marketplace at first. If you like it, consider using the enterprise version for deploying private machine learning models. **What problems is DataRobot solving and how is that benefiting you?** Our company is hosting our production models with Algorithmia. This has helped the data team deploy models with 100% availability. ### 9. Great atomations **Rating:** 4.5/5.0 stars **Reviewed by:** Christian Z. | Co-Founder, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2019 **What do you like best about DataRobot?** Some structures are very easy to proceed here. Specially for robotics applications. **What do you dislike about DataRobot?** Nothing to complain at the moment. I am thankful to find good applications for the programed structures that the program offers. **What problems is DataRobot solving and how is that benefiting you?** Automation of different interfaces that connect software with virtual reality, robotics and smart actors. We create solar panels that follow the sun! ### 10. Data Science on Steriods **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** May 20, 2019 **What do you like best about DataRobot?** DataRobot is a dream-come-true to a data scientist when it comes to modeling. The platform absolutely brute-forces through popular and niche modeling techniques with your data, present you with a ton of metrics afterwards on (top and all) results, and even has deployment options after whatever analysis you do. DataRobot presents you with a good avenue of ways to connect to your data: through a URL path, a local upload (such as csv or xlsx files), or through a hdfs path, so it's pretty easy to get started! **What do you dislike about DataRobot?** There are limitations on how much data you plow through in one project if you're not on the enterprise edition (and there are still limitations on there too). Another thing that might not be great is that it is overly aggressive on the amount of models it runs through by default. Of course you can limit to a certain degree on which models DataRobot's autopilot will be run your data through, but if you're new to the platform, it'll take some ramp-up time on how to configure the autopilot correctly. One last thing, for data sources, they should've made some connectors to RDBMS type databases, or at least a couple of the popular ones like mysql or postgres. **Recommendations to others considering DataRobot:** Hit up their sales team to get a live demo and get a trial. Totally pressure-free sales. You're gonna be amazed by the possibilities of what you can do with this service! **What problems is DataRobot solving and how is that benefiting you?** You can use it to sample your data, have a quick overview of your dataset (metrics such as missing, "importance", aggregations, etc), figure out which modeling techniques to use for increase accuracy on your scoring, and deployment and configuration of models. ### 11. It very easy to setup and run any AI model, low maintenance and good customer spport **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Small-Business (50 or fewer emp.) **Reviewed Date:** January 23, 2020 **What do you like best about DataRobot?** Turn key solution to run any AI/NLP model. 1. Easy deployment and hassle free 2. Version management which will help to test any version. 3. GPU support **What do you dislike about DataRobot?** 1. Cost is too high for statups 2. More documents **Recommendations to others considering DataRobot:** Turn key solution to deploy & run any AI/NLP model and hassle free. **What problems is DataRobot solving and how is that benefiting you?** 1. Deployment problem. 2. Vertical scale 3. Maintenance ### 12. Great and easy to use service for machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Thomas T. | Entrepreneur , Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** June 19, 2019 **What do you like best about DataRobot?** I got setup with Algorithmia in minutes and was able use the functionality quickly Algorithmia allows us to deploy advanced machine learning algorithms quickly, and integrate this into our existing application **What do you dislike about DataRobot?** Quality of some of the algorithms are not very high, so you need to spend some time identifying the right algorithms **Recommendations to others considering DataRobot:** Try it out if you have a need for machine learning. Be aware of the pricing **What problems is DataRobot solving and how is that benefiting you?** ML for language identification of documents and classification of documents to existing categories, based on title and content of sample set ### 13. Easy to Use and Functional **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 22, 2019 **What do you like best about DataRobot?** Ease of use for our IT organization and good support from the company. **What do you dislike about DataRobot?** No downsides or major issues to complain about. **What problems is DataRobot solving and how is that benefiting you?** We use this for predictive analytics in the cost mgmt space at my company. They provide great automated machine learning to provide cost avoidance opportunities to our users. ### 14. Best for ML/AI marketplace **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 21, 2019 **What do you like best about DataRobot?** It built world-class algorithms for the marketplace. I was with a problem with terabytes of data and Algorithmia was so fast and easy. I is compatible with every OS and their API's makes its easy to even integrate it with website **What do you dislike about DataRobot?** There is not much of customer support and some things are difficult to understand but at end they respond to your problems and also file ticket for particular problems. **Recommendations to others considering DataRobot:** Its a great cloud based software. I would recommend it to startups as its cheaper than others. **What problems is DataRobot solving and how is that benefiting you?** My problem deals with images. So its more towards analyzing specific features of a car from a distance. ### 15. Its very helpful for the developer who want to create models and deploy in AI fields **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 30, 2019 **What do you like best about DataRobot?** Its very help full to write the algorithm related to machine learning specially developer who want to give certain amount of data to module and model will predict based upon the data give. **What do you dislike about DataRobot?** Start time is high,when you develop a heavy model some time its hanging **What problems is DataRobot solving and how is that benefiting you?** Related to machine learning specially mathematical problems or algorithms ### 16. DataRobot is the trend **Rating:** 4.5/5.0 stars **Reviewed by:** Jim W. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2019 **What do you like best about DataRobot?** Previously doing machine learning needs a lot of coding work on cleaning the data and building model, right now DataRobot can help us reduce this working effort and focus on improving the model and explaining the results. **What do you dislike about DataRobot?** There are so many features on the interface, it's hard to find the feature you need. And there are so many professional concepts without detail explanation, not so user-friendly. **What problems is DataRobot solving and how is that benefiting you?** Predict churn users, upsell accounts ### 17. Best way to host ML models **Rating:** 4.5/5.0 stars **Reviewed by:** Srikanth S. | CTO, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2019 **What do you like best about DataRobot?** Managed hosting of ML models. Reduces the burden of maintaining and scaling ML infrastructure. **What do you dislike about DataRobot?** Data can be hosted only on user accounts, but not on organisation accounts. Cold start performance could be improved. **What problems is DataRobot solving and how is that benefiting you?** Prior to Algorithmia, we were having hard time running ML models in production. Once we found Algorithmia, there was no looking back. It simplified our deployment workflows and significantly reduced our time to market. ### 18. An Easy Marketplace and Platform for ML **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Investment Management | Small-Business (50 or fewer emp.) **Reviewed Date:** June 12, 2019 **What do you like best about DataRobot?** I was able to easily find a powerful sentiment algorithm for our company's POC **What do you dislike about DataRobot?** Cost was a double edged sword. Felt cheap on first glance but ended up being the reason for moving forward with Google Cloud solution. **Recommendations to others considering DataRobot:** For speed, I wouldn't look elsewhere. They know their stuff and provide a platform that helps generate value. Overall it may be too expensive for the future needs of the organization but simply assess what your current needs are and more forward accordingly. **What problems is DataRobot solving and how is that benefiting you?** Sentiment analysis leveraging another person's work in the space. Easy access to Rest API gave us the speed and agility we crave! ### 19. Great data collection tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** September 24, 2019 **What do you like best about DataRobot?** I like how easy it is to collect the data and analyze it! **What do you dislike about DataRobot?** I dislike inputting all of my data in because it takes a lot of time. **Recommendations to others considering DataRobot:** It is great to use! I would definitely recommend it! **What problems is DataRobot solving and how is that benefiting you?** It easily analyzed and compared data. ### 20. best automation tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** September 26, 2019 **What do you like best about DataRobot?** i've used for predictive analysis and the ability to implement machine learning is the best **What do you dislike about DataRobot?** I like everything about this product and has made my life easy **What problems is DataRobot solving and how is that benefiting you?** eliminating manual jobs and ability to take decision on the fly helped our organization a lot ### 21. Algorithms for everyone **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 21, 2019 **What do you like best about DataRobot?** This platform is easy to use and makes implementing AI large scale super easy. **What do you dislike about DataRobot?** It can be hard to use for those not versed in tech. **Recommendations to others considering DataRobot:** Very easy to implement the daunting use of ML. **What problems is DataRobot solving and how is that benefiting you?** It is easy to use if you have a tech background but not so much otherwise. ### 22. Really helpful to our start-up **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** June 18, 2019 **What do you like best about DataRobot?** The simplicity of Algorithmia to the end user was absolutely key being able to deploy some complex algorithms very rapidly for our customers. **What do you dislike about DataRobot?** Some of the algorithms are fairly old and are no longer functional. It takes some time to sort through these. **What problems is DataRobot solving and how is that benefiting you?** Enabled very rapid development. ### 23. Great job **Rating:** 4.0/5.0 stars **Reviewed by:** Ali M. | Contractor, Small-Business (50 or fewer emp.) **Reviewed Date:** June 21, 2019 **What do you like best about DataRobot?** Algorithmic helped us making our application more user friendly. **What do you dislike about DataRobot?** There is no downside, they were professional and efficient. **What problems is DataRobot solving and how is that benefiting you?** More users on our app. ### 24. Algorithmia - Future of Machine Learning Infrastructure **Rating:** 4.0/5.0 stars **Reviewed by:** Preet V. | Software Developer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** August 28, 2018 **What do you like best about DataRobot?** It works for creating AI/Machine Learning Algorithms and it is cloud-based It uses API such as Natural language processing, face detection to for enabling AI in most aspects It provides the platform which gives security, scalability, and discoverability to products help in generating best solutions Algorithmia can work on any cloud server organizations It built world-class algorithms for the marketplace It has a coding language compatibility, Algorithms Library, customizable security Compatable wirh Windows, Mac and web-based Deployment is totally Cloud based and Open API **What do you dislike about DataRobot?** Algorithmia pricing based on the number of API calls which is somewhat confusing It suits well with large organizations As it is startup workforce and support system is not good **Recommendations to others considering DataRobot:** Working with AI and ML can be really tough and time confusing but using the Algorithmia Cloud service can really be helpful **What problems is DataRobot solving and how is that benefiting you?** Using Algorithmia service to provide API service to the product used in my corporate ### 25. Review of Algorithmia **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** June 22, 2019 **What do you like best about DataRobot?** The AI Layer abstracts your models from infrastructure, so you can do more of what matters as you scale. **What do you dislike about DataRobot?** Do not dislike anything. Its a okay product. **Recommendations to others considering DataRobot:** Not bad **What problems is DataRobot solving and how is that benefiting you?** The algorithm is pretty good with what I need done ### 26. Using DataRobot for Time Series Analysis **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Management Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** March 04, 2019 **What do you like best about DataRobot?** Ability to easily build machine learning models algorithms ranging from simplistic regressions to complex gradient boosted trees **What do you dislike about DataRobot?** - Interaction to the UI using scripting language like Python and R can still be made better - Terminology can be standardized to the terms used in standard Data Science world (use crossvalidation instead of backtest) **What problems is DataRobot solving and how is that benefiting you?** - Building multi-series demand forecasting models. - Easy to try out multiple models simultaneously, automate the process, and scale it to a production level ### 27. Data Robot appars to be an incredible solution **Rating:** 5.0/5.0 stars **Reviewed by:** Holli M. | Onboarding Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** November 22, 2018 **What do you like best about DataRobot?** -Ease of use -Don't have to be a data scientist to use **What do you dislike about DataRobot?** It's expensive, but I understand for some of the larger organizations the ROI justifies the cost. **What problems is DataRobot solving and how is that benefiting you?** Our data science team has spent a lot of time coding and building out predictive algorithms, some of which never even went live. With this, we are able to leverage our existing customer and internal data sets to build out better roadmaps and improve our decision-making process. ### 28. Good software for a group of Data Scientists **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** July 18, 2018 **What do you like best about DataRobot?** The best part of using Data Robot is that I am able to test out different models and change features, and it saves time. It is fast and provide good visualization. **What do you dislike about DataRobot?** The biggest disappointment is that I cannot export the underlying code. Not sure if its not supported, but I did not find a way to do it. **What problems is DataRobot solving and how is that benefiting you?** We tried to do Classification with DataRobot. It helped us with prediction on how likely someone is gonna do A/B, so we can be proactive before it actually happens. ## DataRobot Discussions - [Can I use external libraries with my algorithms?](https://www.g2.com/discussions/can-i-use-external-libraries-with-my-algorithms) - 1 comment, 1 upvote - [How much does using Algorithmia cost?](https://www.g2.com/discussions/how-much-does-using-algorithmia-cost) - 1 comment, 1 upvote - [I found a bug in an algorithm or it's not producing the expected results, what can I do?](https://www.g2.com/discussions/i-found-a-bug-in-an-algorithm-or-it-s-not-producing-the-expected-results-what-can-i-do) - 1 comment, 1 upvote - [View DataRobot pricing details and edition comparison](https://www.g2.com/products/datarobot/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-24+12%3A32%3A04+-0500&secure%5Bsession_id%5D=c0fa51f4-3658-4cf1-a659-bdb4f3194671&secure%5Btoken%5D=76f9b9f83f08ba678391184ec4c9843cfb68ab859aa3392bd09fe54bf8f732f2&format=llm_user) ## DataRobot Features **System** - Data Ingestion & Wrangling **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Model Development** - Feature Engineering **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top DataRobot Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (813 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (203 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (494 reviews)