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 filtering is fast, and it provides a search tool that is great."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The most valuable feature of Alteryx is its performance. It is a powerful solution."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"The initial setup is easy."
"Good data transformation."
"Technical support is very helpful."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"We have the ability to scale, collaborate and do machine learning."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"There are good features for turning off clusters."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Automation with Databricks is very easy when using the API."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"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's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"There are a few imputation techniques which they really need to include."
"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."
"A lot of people are required to manage this solution."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks' technical support takes a while to respond and could be improved."
"There should be better integration with other platforms."
"Pricing is one of the things that could be improved."
"In the next release, I would like to see more optimization features."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"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."
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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