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.
"The scheduling feature for the automation is excellent."
"Geo features have made spatial mapping large retail universes possible."
"The solution has been stable."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The most valuable feature of Alteryx is user-friendliness."
"The filtering is fast, and it provides a search tool that is great."
"The initial setup is easy."
"The simplicity of development is the most valuable feature."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"The setup was straightforward."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Databricks helps crunch petabytes of data in a very short period of time."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"Lacks an open source edition which would be helpful."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"The solution can be made more affordable."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"The Databricks cluster can be improved."
"The pricing of Databricks could be cheaper."
"The product cannot be integrated with a popular coding IDE."
"The integration and query capabilities can be improved."
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.