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."Databricks integrates well with other solutions."
"The initial setup is pretty easy."
"It's easy to increase performance as required."
"The solution is very easy to use."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"The main features of the solution are efficiency."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"Qlik Sense is a very powerful and useful tool."
"We have had an easy time supplying content to our customers."
"This solution has improved our organization by making our analysis results available to customers."
"Quick reporting."
"We can easily and quickly deploy new dashboards that reach a wide audience and any changes get reflected almost instantaneously for the users."
"The ETL component allows us to pull from many different sources, making pulling data in easy."
"The flexibility of Qlik Sense and the addition of 3rd party extensions allow us to extend the use of Qlik Sense beyond analytics and bring the platform to the core of our digital workplace, augmenting analytics with workflow, and team collaboration."
"It automates recurring processes to save time and money."
"CI/CD needs additional leverage and support."
"I believe that this product could be improved by becoming more user-friendly."
"It would be great if Databricks could integrate all the cloud platforms."
"We'd like a more visual dashboard for analysis It needs better UI."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"There are no direct connectors — they are very limited."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"The scripts available in the solution are not great."
"The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features."
"I would like to see more native features from QlikView integrated into Qlik Sense."
"Currently, we are not very happy with the iPad or iPhone app because it is not working as we want."
"A valuable improvement for this solution would be the enabling of us to host dashboards for our customers."
"Dates. My goodness, working with dates in set analysis can be a nightmare! Much room for improvement."
"The only thing I would say that comes up is that sometimes it can be a bit buggy."
"There is no downside."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and TIBCO Spotfire. See our Databricks vs. Qlik Sense report.
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