We performed a comparison between Databricks and QlikView based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"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."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"It can send out large data amounts."
"The initial setup phase of Databricks was good."
"I like cloud scalability and data access for any type of user."
"The time travel feature is the solution's most valuable aspect."
"The ability to stream data and the windowing feature are valuable."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"On the positive side, QlikView's scripting is a great asset as it functions as an ETL."
"It excels in supporting database connections and various database types."
"This solution has simplified getting to and understanding our data, no matter where it is housed."
"The solution is fast."
"QlikView is a scalable solution that multiple users can easily use."
"It's pretty easy to deploy."
"If you correctly use the product for your use cases, it provides value for money."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Databricks could improve in some of its functionality."
"Implementation of Databricks is still very code heavy."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"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."
"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."
"Can be improved by including drag-and-drop features."
"There is no automation or drag and drop functionality."
"More/newer visualisation components need to be added."
"I would like to see more advanced features from Qlik Sense integrated into QlikView to keep it competitive and up-to-date."
"I would want them to have more options as a user. It would be nice for them to create their own dashboards and add fields."
"Although Qliktech's road map clearly states that QlikView has a long way to go, most of the R&D effort seems to be benefiting Qlik Sense."
"They could provide a user-friendly analysis process rather than specialized IT resource code."
"It is really old. We are moving towards converting everything into a Power BI environment. We want to have a self-service type of BI environment where different levels of users in organizations can log onto a portal and retrieve the data they need or get the necessary insights for decision-making that's important for them or their business unit. They have built a new version of QlikView called QlikSense, which probably competes with newer BI tools, such as Power BI, but they are far behind. That's why we are moving towards a newer tool that's easier to use and has more visualizations to represent the data."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while QlikView is ranked 5th in Reporting with 158 reviews. Databricks is rated 8.2, while QlikView is rated 8.2. 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 QlikView writes "Useful for data visualization and business intelligence". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
