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 is the ability to use SQL directly with Databricks."
"Databricks' most valuable feature is the data transformation through PySpark."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The processing capacity is tremendous in the database."
"We have the ability to scale, collaborate and do machine learning."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"It can send out large data amounts."
"The in-memory feature gives us better insight. It's also easy to drill down into the information and select information."
"Its ability to build, very quickly, very complicated models."
"The user interface and dashboards are very good."
"You can do a lot of things on the back end which are not possible in the other solutions on the market."
"This is a very cool application with endless options of creativity and visuals."
"On the positive side, QlikView's scripting is a great asset as it functions as an ETL."
"It's pretty easy to deploy."
"The initial setup is not very complex."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"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."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"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."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"Databricks' technical support takes a while to respond and could be improved."
"Syntax editor needs some work, it's frustrating to have valid syntax being flagged as incorrect."
"The solution is quite costly."
"There could be a feature to analyze the sales and accounting data of the client."
"I would like to see more advanced features from Qlik Sense integrated into QlikView to keep it competitive and up-to-date."
"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."
"There is no automation or drag and drop functionality."
"Scalability really depends on the size of your data and QlikView server architecture. For the biggest data sets, it could become an issue at some point."
"Enhancing user-friendliness would be highly beneficial."
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.
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.
