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 feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"Alteryx is so advanced. It's just drag and drop."
"The initial setup is easy."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"The analytics are easy."
"It helps clean messy data and provides spatial analysis."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"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."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"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."
"Easy to use and requires minimal coding and customizations."
"It's very simple to use Databricks Apache Spark."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"There are no ready models to use in analytics."
"The principal problem is the pricing. They're expensive products."
"The formula we currently use in Alteryx can be automated."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"It seems to me that it is not always user friendly."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"The integration of data could be a bit better."
"Costs can quickly add up if you don't plan for it."
"I have seen better user interfaces, so that is something that can be improved."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"It would be great if Databricks could integrate all the cloud platforms."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
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, Microsoft Power BI and Qlik Sense, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio 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.