We performed a comparison between Databricks and Qlik Sense based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is pretty easy."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"I work in the data science field and I found Databricks to be very useful."
"I like cloud scalability and data access for any type of user."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Ability to work collaboratively without having to worry about the infrastructure."
"Automation with Databricks is very easy when using the API."
"My organization now has data from disparate systems at their fingertips in a way that lets them get the answers they need when they want it."
"Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that."
"It is simple to develop, which is good."
"The most valuable feature of QlikSense is that you can capture the data without modifying it and then perform the ETL (extract, transform, and load) process."
"Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."
"The data is incredibly easy to share with colleagues."
"Allowing the users to be able to take snapshots and create their own story without ever leaving the application is a very good feature."
"The changes in a dashboard are very easy."
"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."
"A lot of people are required to manage this solution."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"I believe that this product could be improved by becoming more user-friendly."
"Anyone who doesn't know SQL may find the product difficult to work with."
"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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"I'd like to see more end-user-friendly UI designs."
"Integrated maps should become part of the Qlik Sense, as opposed to buying an additional module just to power the BI, which has it built-in natively within the application."
"Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."
"My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance."
"The navigation is quite clunky and outdated."
"Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue."
"I would like to see more native features from QlikView integrated into Qlik Sense."
"Mostly when it comes to the loading of the data and reload times of the reports, it could be better."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 reviews. Databricks is rated 8.2, while Qlik Sense is rated 8.6. 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 Qlik Sense writes "Customizable with good ROI and a quick learning curve". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Qlik Sense is most compared with Amazon QuickSight, Tableau, Apache Superset, Microsoft Power BI and TIBCO Spotfire. See our Databricks vs. Qlik Sense report.
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