We performed a comparison between Databricks and Qlik Sense based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I work in the data science field and I found Databricks to be very useful."
"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 ease of use and its accessibility are valuable."
"The solution is an impressive tool for data migration and integration."
"It's easy to increase performance as required."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"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."
"We have the ability to scale, collaborate and do machine learning."
"The visualizations are good and keep improving."
"The Nprinting is useful."
"Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."
"The UI is very easy to use, with drag and drop self-service analytics."
"The ability to access data from multiple sources in one application. This has been invaluable."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"It has improved our organization by providing data to decision-makers in a safe visual environment."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
"The integration features could be more interesting, more involved."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"It should have more compatible and more advanced visualization and machine learning libraries."
"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 would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Databricks could improve in some of its functionality."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"We need more types of visualizations."
"I would like to see improvements in the Qlik Sense SaaS version, particularly in the front-end capabilities."
"It needs continued improvement on its visualizations and content customization."
"They need to make security rules to access applications and data security easier and customizable."
"Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"Ability for the administrator to approve Community Sheets in the QMC and then move them into base sheets."
"My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 reviews. Databricks is rated 8.2, while Qlik Sense is rated 8.6. 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 Qlik Sense writes "Customizable with good ROI and a quick learning curve". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Qlik Sense is most compared with Amazon QuickSight, Tableau, Apache Superset, Microsoft Power BI and TIBCO Spotfire. See our Databricks vs. Qlik Sense report.
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