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 integration with Python and the notebooks really helps."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"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."
"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."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The reports are better looking than in QlikView."
"Qlik DataMarket"
"What I found most valuable in Qlik Sense is its flexibility. It's a very flexible tool, and it has a lot of capabilities compared to Tableau and Power BI. In Qlik Sense, you can take data from any of the systems, and you can do data transformation, prepare the data, then present your KPIs. Data transformation isn't present in Tableau, Power BI, and other tools. In Qlik Sense, you're able to get the data and directly present that data. The presentation layer is also very good in Qlik Sense. My company is very happy with this tool."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"Qlik has a powerful load script that uses an enhanced SQL language which is excellent for loading and transforming the data."
"We were able to identify easy things, such as when a contract was loaded incorrectly."
"Qlik Sense is a very powerful and useful tool."
"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."
"We'd like a more visual dashboard for analysis It needs better UI."
"The tool should improve its integration with other products."
"It would be great if Databricks could integrate all the cloud platforms."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Needs more bookmarking and a data load screen."
"The next version should include more standard integrations."
"The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker."
"It needs continued improvement on its visualizations and content customization."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"Performing data transformations required a lot of programming, which is something that should be made easier."
"More focus needs to be on data streaming/real-time data reporting."
"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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