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 time travel feature is the solution's most valuable aspect."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"The initial setup is pretty easy."
"The solution's technical support is good."
"Leveraging and reusability of already existing QlikView assets and knowledge."
"The number of visualizations that are present in Qlik is very useful for our developers to help our business partners tell stories with their data. Qlik continues to add to and enhance these visualizations with each release. We are also very excited to leverage the integration between Qlik Sense and Qlik Catalog as we roll that out soon."
"It is very easy to use, and the Qlik data engine has been able to handle everything we have thrown at it."
"The most valuable features of Qlik Sense are its speed and seamless development of web technologies."
"It connects very simply to data sources."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"On the fly questions can be answered with the "Qlik" of a button and drive forward discussions about policy, mission, and goals."
"Databricks could improve in some of its functionality."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"CI/CD needs additional leverage and support."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"The Databricks cluster can be improved."
"Implementation of Databricks is still very code heavy."
"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."
"The reporting solution recently added to the latest Cloud version, since December or January, is not fully developed. The ability to use tabular reporting, like in dashboards, would be a great feature."
"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."
"Moving forward I would like to see more features that are currently available in QlikView, such as being able to better customize coloring within charts. I would also like to see the ability to add calculated dimensions to the selections tool in the page."
"I'd like to see more end-user-friendly UI designs."
"I would like to have the ability to better customize the visuals including changing fonts, sizing, colors, axes, and titles."
"In my opinion, collaborative development of the Qlik Apps is a bit tricky and difficult in the Qlik Sense Cloud."
"It needs continued improvement on its visualizations and content customization."
"Qlik Sense should have a conversion tool which automatically converts QlikView to Qlik Sense, so customers can easily migrate between the products of Qlik."
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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