We performed a comparison between Alteryx and Databricks based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Databricks has a slight edge in this comparison. It received better marks in the pricing category than Alteryx did.
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"It's super easy to learn how to use it — the learning curve is very small."
"The filtering is fast, and it provides a search tool that is great."
"Its initial setup is easy."
"The support is very good."
"Technical support is very helpful."
"The solution has been stable."
"The setup was straightforward."
"The initial setup phase of Databricks was good."
"Ability to work collaboratively without having to worry about the infrastructure."
"It's great technology."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"I work in the data science field and I found Databricks to be very useful."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"It seems to me that it is not always user friendly."
"The solution can be made more affordable."
"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"The technical support could have a little bit of improvement."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"There is room for improvement in visualization."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The integration features could be more interesting, more involved."
"Databricks can improve by making the documentation better."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Alteryx is rated 8.4, while Databricks is rated 8.2. 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 Databricks writes "A nice interface with good features for turning off clusters to save on computing". Alteryx is most compared with KNIME, Dataiku, RapidMiner, Tableau and Microsoft Power BI, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Apache Flink. See our Alteryx vs. Databricks report.
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We monitor all Data Science Platforms 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.