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 solution offers a free community version."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The ability to stream data and the windowing feature are valuable."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"The language support is very good."
"The initial setup is not very complex."
"Associative model - no more cubes."
"Its ability to build, very quickly, very complicated models."
"QlikView is a scalable solution that multiple users can easily use."
"Once you open it up, you see everything that you can do."
"It is a stable product."
"One of the good thing is that you can integrate different data source technologies. So you can model your environment without having any of our views running."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"I would like more integration with SQL for using data in different workspaces."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"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 integration of data could be a bit better."
"Pricing is one of the things that could be improved."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"There's room for improvement in the area of management's handling of concerns."
"Sometimes, dealing with complex reports requires more effort, which could be really improved."
"There is no automation or drag and drop functionality."
"Improvements are required in the hide and unhide functionality that falls under the layout container feature that has been used in my company in recent times."
"For me, it is important to have a mix, what is the "view" and what is the "sense", Qlik Sense. They have two tools, but for me it is important to have only one tool, which combines the functions that we have from one side and the other side."
"They could improve the update time."
"The user interface and ease of use takes a bit of a learning curve to pick up."
"More/newer visualisation components need to be added."
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, Dremio and Microsoft Azure Machine Learning Studio, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
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