We performed a comparison between Databricks and QlikView based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Its lightweight and fast processing are valuable."
"Easy to use and requires minimal coding and customizations."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"Ability to work collaboratively without having to worry about the infrastructure."
"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."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The initial setup is not very complex."
"Its ability to build, very quickly, very complicated models."
"Easy to analyze data by click-through."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"It is a stable product."
"The most valuable feature of QlikView is the integration with other third-party tools."
"We use QlikView for its cost-effectiveness and ease of integration with databases."
"You can do a lot of things on the back end which are not possible in the other solutions on the market."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"The product should provide more advanced features in future releases."
"Can be improved by including drag-and-drop features."
"The initial setup is difficult."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The product cannot be integrated with a popular coding IDE."
"Costs can quickly add up if you don't plan for it."
"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."
"I would want them to have more options as a user. It would be nice for them to create their own dashboards and add fields."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"There could be a feature to analyze the sales and accounting data of the client."
"The user interface and ease of use takes a bit of a learning curve to pick up."
"There's room for improvement in the area of management's handling of concerns."
"They could provide a user-friendly analysis process rather than specialized IT resource code."
"The user interface is old."
"Sometimes the filters are disappearing, and I'm not sure why this is happening."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while QlikView is ranked 5th in Reporting with 158 reviews. Databricks is rated 8.2, while QlikView is rated 8.2. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of QlikView writes "Useful for data visualization and business intelligence". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
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