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 processing capacity is tremendous in the database."
"It is fast, it's scalable, and it does the job it needs to do."
"The integration with Python and the notebooks really helps."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The solution is very simple and stable."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"This solution has improved our organization by making our analysis results available to customers."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
"We have had an easy time supplying content to our customers."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
"The most valuable features are that Qlik has a very strong ATL available and the capacity to handle large volumes of data."
"Data-driven decisions are now easier."
"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."
"The most valuable feature is the drag-and-drop reporting."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Costs can quickly add up if you don't plan for it."
"The pricing of Databricks could be cheaper."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"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."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Even though a huge set of learning material is available, anyone starting his/her journey on learning the software doesn't even know where to start it. The so-called Continous Classroom service is not cheap, but there are many free tutorials, they are not sorted or enlisted adequately though."
"We want the next version of this solution to be cloud-based so that each user can access it from anywhere in the world with their phone, tablet, or computer without a VPN connection."
"There is no downside."
"Ultra-customization: It needs no limits on which charts can have x amount of dimensions, y amount of measures, z amount of color expressions, etc."
"There is a direction currently with feature releases within QLik Sense which are focused towards the SaaS or Cloud offerings of Qlik Sense. This leaves those who have invested heavily in on-premise enterprise deployments in a difficult position to gain the benefits of some powerful new features they have to look to reinvest further towards these SaaS or Cloud deployments or bring in a hybrid model. Qlik provides no real split between what features are available in each of the deployment options."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"Report generation without the need for NPrinting, which has limited capabilities anyway, would be an improvement."
"There are some tools like Alteryx, which are used for data preparation. These features can be built into Qlik to make the process smoother."
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, 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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