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."The solution is easy to use and has a quick start-up time due to being on the cloud."
"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 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 technical support is good."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The time travel feature is the solution's most valuable aspect."
"The initial setup phase of Databricks was good."
"Scripting as per a customer's need, which is a pretty cool feature and not available in other tools."
"You can do a lot of things on the back end which are not possible in the other solutions on the market."
"The in-memory feature gives us better insight. It's also easy to drill down into the information and select information."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"The search feature: ability to see the related data."
"The initial setup is not very complex."
"A well designed app brings freedom of inquiry to meetings, allowing me to answer questions in real time and this has transformed progress and outputs of our monthly group meeting."
"Associative model - no more cubes."
"Databricks could improve in some of its functionality."
"It's not easy to use, and they need a better UI."
"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."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"The product should provide more advanced features in future releases."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"CI/CD needs additional leverage and support."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"I would like to see more advanced features from Qlik Sense integrated into QlikView to keep it competitive and up-to-date."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"Error handling."
"Sometimes, dealing with complex reports requires more effort, which could be really improved."
"They could improve the speed."
"Better source data connectors."
"They could provide a user-friendly analysis process rather than specialized IT resource code."
"Enhancing user-friendliness would be highly beneficial."
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, Dremio and Microsoft Azure Machine Learning Studio, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
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.
