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."I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"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."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"Its lightweight and fast processing are valuable."
"The initial setup is pretty easy."
"We can scale the product."
"The setup was straightforward."
"The ease of use and its accessibility are valuable."
"It has allowed us to manage our staff more effectively and frees up time for our analysts to analyze new problems and opportunities."
"This tool not only allows for consumption of the data in a visual way, but also allows the user to modify the question to get new answers."
"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 Sense has a modern look and feel and a very intuitive UI, so non-technical users find it very user friendly."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"Qlik Sense is very stable. I would rate the stability a ten out of ten. Even for rare issues, we receive good support from Qlik. It's a very stable solution."
"The visualizations are good and keep improving."
"The drag and drop functionality provides an easy and fast development approach."
"Databricks can improve by making the documentation better."
"There is room for improvement in visualization."
"Anyone who doesn't know SQL may find the product difficult to work with."
"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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I have seen better user interfaces, so that is something that can be improved."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The integration and query capabilities can be improved."
"The scripts available in the solution are not great."
"The product could be less expensive."
"I am starting to work with Qlik Sense SaaS these days. This environment has its own reporting service, however, one of the things that could be better for the people that are already using Nprinting, is to have a Nprinting in SaaS."
"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."
"The next version should include more standard integrations."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"The security rules should be made easier to use."
"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."
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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