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."It's very simple to use Databricks Apache Spark."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"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."
"Its lightweight and fast processing are valuable."
"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."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Databricks helps crunch petabytes of data in a very short period of time."
"QlikView is a scalable solution that multiple users can easily use."
"You can switch views easily."
"It enables us to configure various elements, such as dashboard settings, including factors like color schemes and other customization parameters."
"A well designed app brings freedom of inquiry to meetings, allowing me to answer questions in real time and this has transformed progress and outputs of our monthly group meeting."
"The scalability is there."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"The language support is very good."
"Its ability to build, very quickly, very complicated models."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The integration and query capabilities can be improved."
"The integration of data could be a bit better."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"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."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"Needs improvement with UI transparency."
"Installation and deployment could be made easier and quicker."
"The solution is quite costly."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
"They should offer the capability to directly access data from SaaS environments, as it would simplify the migration process, and while it may seem like a minor enhancement, it would be beneficial to our clients."
"The pricing is high."
"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."
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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
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