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.
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"The support is very good."
"It is efficient in optimizing our ability to get information."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"Its initial setup is easy."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"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."
"The simplicity of development is the most valuable feature."
"We can scale the product."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The time travel feature is the solution's most valuable aspect."
"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."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"I'd like it to be easier to work with PDF."
"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 think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"The formula we currently use in Alteryx can be automated."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"The event handling, such that the file system watcher, is in need 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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"Anyone who doesn't know SQL may find the product difficult to work with."
"CI/CD needs additional leverage and support."
"I believe that this product could be improved by becoming more user-friendly."
"Databricks could improve in some of its functionality."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Databricks has a lack of debuggers, and it would be good to see more components."
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.
