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 speeds up the time to obtain business answers/insights on data."
"It helps clean messy data and provides spatial analysis."
"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"It is a stable and scalable solution."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The three data signs and data engineering are great features."
"It's super easy to learn how to use it — the learning curve is very small."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"Automation with Databricks is very easy when using the API."
"It is a cost-effective solution."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Its lightweight and fast processing are valuable."
"I work in the data science field and I found Databricks to be very useful."
"There are good features for turning off clusters."
"There are a few imputation techniques which they really need to include."
"The event handling, such that the file system watcher, is in need of improvement."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"I honestly can't think of anything that needs to be improved."
"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."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"Even when it already includes some AI models, this area could be improved."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"We'd like a more visual dashboard for analysis It needs better UI."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"The integration features could be more interesting, more involved."
"Can be improved by including drag-and-drop features."
"In the next release, I would like to see more optimization features."
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 Data Science Studio, RapidMiner, Microsoft Power BI and Qlik Sense, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, 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.