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."Databricks' most valuable feature is the data transformation through PySpark."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The solution is an impressive tool for data migration and integration."
"The most useful feature of QlikView for me is the QVD concept."
"Our Qlikview applications help us to get a good idea of our Client Base Performance and assist us in the decision making for Seasonal Specials. On the other hand QlikView helps us to get a grasp on our Suppliers and helps us to negotiate pricing with them."
"The search feature: ability to see the related data."
"The integration with Salesforce has helped us gain access to crucial sales data in real-time."
"It excels in supporting database connections and various database types."
"The most valuable feature of QlikView is the integration with other third-party tools."
"It's pretty easy to deploy."
"It is a stable product."
"The pricing of Databricks could be cheaper."
"Databricks can improve by making the documentation better."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"Databricks' technical support takes a while to respond and could be improved."
"Doesn't provide a lot of credits or trial options."
"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."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Databricks could improve in some of its functionality."
"They should offer the capability to directly access data from SaaS environments, as it would simplify the migration process, and while it may seem like a minor enhancement, it would be beneficial to our clients."
"Needs improvement with UI transparency."
"There is a challenge on the frontend when it comes to browsing data through QlikView, as it isn't entirely compatible with other platforms we use."
"I really wish the application was easier to use in the development phase."
"QlikView's UI could be more user-friendly."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
"They could improve the update time."
"More/newer visualisation components need to be added."
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.
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