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."Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"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."
"I work in the data science field and I found Databricks to be very useful."
"Databricks helps crunch petabytes of data in a very short period of time."
"The solution is an impressive tool for data migration and integration."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"We have had an easy time supplying content to our customers."
"The most valuable feature is the drag-and-drop reporting."
"We can generate various graphs, various reports and we can mainly use it for dashboard related things. We can create a dashboard with live data and we can make decisions based on this information,"
"Self-service use of the desktop version with the ability to port applications into the server environment."
"The Nprinting is useful."
"It has improved our organization by providing data to decision-makers in a safe visual environment."
"The drag and drop UI has been the most useful to me."
"The most valuable feature is flexibility."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"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."
"Costs can quickly add up if you don't plan for it."
"The Databricks cluster can be improved."
"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."
"I would like it if Databricks made it easier to set up a project."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"There are some tools like Alteryx, which are used for data preparation. These features can be built into Qlik to make the process smoother."
"Report generation without the need for NPrinting, which has limited capabilities anyway, would be an improvement."
"Better searching capabilities would be a nice addition."
"More focus needs to be on data streaming/real-time data reporting."
"The management console appearance needs improvement to its look."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features."
"Ad-hoc reporting capabilities would be ideal."
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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