We performed a comparison between Alteryx and DataRobot based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics."Alteryx makes it easy for the end customer to see clean data in a structured form."
"The most valuable feature of Alteryx is user-friendliness."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."
"DataRobot can be easy to use."
"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"I'd like it to be easier to work with PDF."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"The workflow and pipeline need to improve."
"The solution can be made more affordable."
"Lacks an open source edition which would be helpful."
"There are no ready models to use in analytics."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
Earn 20 points
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while DataRobot is ranked 5th in Predictive Analytics with 3 reviews. Alteryx is rated 8.4, while DataRobot is rated 8.6. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of DataRobot writes "Easy to manage jobs and see the logs if there's any drift in a model, user-friendly, and the data munching is fast". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and Tableau, whereas DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and SAS Predictive Analytics.
See our list of best Predictive Analytics vendors.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.