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."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"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."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The initial setup phase of Databricks was good."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"It is useful to use a tool like this to have a view of data at a point in time. You can extract and create little data sets that you can store, and then over time, you can have a view for tracking changes. Especially when you work with a relational database or a database that's a production database, the data is dynamic, but if you use QlikView, you can take a snapshot of different datasets. In your own time, you can then get insights and report, build, analyze, and draw whatever you need from the data, which is quite useful."
"The integration with Salesforce has helped us gain access to crucial sales data in real-time."
"The most useful feature of QlikView for me is the QVD concept."
"Its ability to build, very quickly, very complicated models."
"Our Qlikview applications help us to get a good idea of our Client Base Performance and assist us in the decision making for Seasonal Specials. On the other hand QlikView helps us to get a grasp on our Suppliers and helps us to negotiate pricing with them."
"The language support is very good."
"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."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"I believe that this product could be improved by becoming more user-friendly."
"The integration of data could be a bit better."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Pricing is one of the things that could be improved."
"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."
"Sometimes, dealing with complex reports requires more effort, which could be really improved."
"Better source data connectors."
"This solution would be improved with the inclusion of a feature that would allow us to add a common library of (our) commands used in load scripts and expressions, so with a keyword, we would get a drop down to select the command we are looking for, as opposed to the generic help."
"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."
"I really wish the application was easier to use in the development phase."
"They could provide a user-friendly analysis process rather than specialized IT resource code."
"The tool is expensive in Turkey."
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.