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 fast data loading process and data storage capabilities are great."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"It's great technology."
"I like cloud scalability and data access for any type of user."
"The integration with Python and the notebooks really helps."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The ability to stream data and the windowing feature are valuable."
"The simplicity of development is the most valuable feature."
"For a deployment scenario, Qlik Sense is also very easy to use. I can start development from any platform, on-premise or cloud, and continue from where I left off."
"This solution has improved our organization by making our analysis results available to customers."
"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."
"Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand."
"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."
"Obviously and considering that Qlik Sense is a data visualization application, the most attractive feature is the fast handling of large amounts of data and the attractive visualization of the same."
"Qlik Sense has given us visibility into our data to make informed decisions."
"We have found the use of AI to be the most valuable feature."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The integration and query capabilities can be improved."
"Implementation of Databricks is still very code heavy."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"It's not easy to use, and they need a better UI."
"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."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Qlik Sense could include additional features for data preparation and integration, making it easier for users to clean, transform, and integrate data from various sources."
"Ability for the administrator to approve Community Sheets in the QMC and then move them into base sheets."
"Possibly offering some more basic, simpler templates."
"Qlik Sense is working very well on going to low code and development. They are trying to make their environment more user-friendly. However, the training is not free. When you want to learn more about the tool, sometimes you need to pay for the training. This does not make sense to me because training should be free because the more you learn about the tool the more you use it and the more you are loyal to the company and want to continue usage."
"The on-demand report generation button in Qlik Sense currently doesn't work if NPrinting requires Okta verification, which our company uses."
"I wish the product had the ability for slightly more customization. The out-of-the box charts and visualizations are fantastic, but I want to be able to tweak it without having to add outside extensions and widgets."
"More options for the layout."
"They should generally focus more on the evolution of current capabilities rather than doing everything but only at 50% effectiveness."
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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