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."The setup was straightforward."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"Automation with Databricks is very easy when using the API."
"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."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"My organization now has data from disparate systems at their fingertips in a way that lets them get the answers they need when they want it."
"Unique data visualizations created based on - among others - customer reviews and hands-on experience. Qlik is an experienced company in the Business Intelligence / Data visualization area, that doesn't necessarily mean it is the best solution, however, based on my personal experience it is much more complex than Power BI and Tableau as I've had some things to do with these two concurrent softwares."
"It offers good control. Loading the logs is also a good thing."
"It allows you to create a new column using split on a current column, which we find very useful."
"Qlik Sense helps us increase our organization's customer relationships and brings in more projects."
"We can bring data from multiple sources and easily blend it in Qlik and create a data model (star schema)."
"The most valuable feature of QlikSense is that you can capture the data without modifying it and then perform the ETL (extract, transform, and load) process."
"It is simple to develop, which is good."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"It should have more compatible and more advanced visualization and machine learning libraries."
"I have seen better user interfaces, so that is something that can be improved."
"The initial setup is difficult."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"Would be helpful to have additional licensing options."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"There are occasional stability problems, but Qlik support is excellent at correcting anything that arises."
"They need to make security rules to access applications and data security easier and customizable."
"The current visualization features feel incomplete compared to what's available with scripting tools."
"The augmented intelligence features don't work well for the analytical user."
"What needs improvement in Qlik Sense is the support. It could be faster. My organization had already talked to Qlik management and has escalated multiple times, so management is looking into the support."
"It needs continued improvement on its visualizations and content customization."
"Branding is not the product's strongest point. More control over the presentation colors would be great. A basic printing function would also be good. Easy connection to external tools like R Server would be nice."
"There is a direction currently with feature releases within QLik Sense which are focused towards the SaaS or Cloud offerings of Qlik Sense. This leaves those who have invested heavily in on-premise enterprise deployments in a difficult position to gain the benefits of some powerful new features they have to look to reinvest further towards these SaaS or Cloud deployments or bring in a hybrid model. Qlik provides no real split between what features are available in each of the deployment options."
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, Microsoft Azure Machine Learning Studio and Dremio, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and TIBCO Spotfire. See our Databricks vs. Qlik Sense report.
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