We performed a comparison between Databricks and Sisense based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks' most valuable feature is the data transformation through PySpark."
"Databricks has helped us have a good presence in data."
"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 fast data loading process and data storage capabilities are great."
"It's great technology."
"The ability to stream data and the windowing feature are valuable."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"I work in the data science field and I found Databricks to be very useful."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"I have found the dashboard creating feature helpful."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"A very simple setup: Easy to download, install, and updates are pain free."
"The solution's technical support team is good."
"It has allowed me to move my data to the cloud."
"Allows users to build their own solutions without as much reliance on technology staff."
"No issues with stability. It is a very stable solution."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"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."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Pricing is one of the things that could be improved."
"Implementation of Databricks is still very code heavy."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"The tool should improve its integration with other products."
"The administrative side of Sisense is a little cumbersome and confusing."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"The solution's setup process could be easier."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Sisense is ranked 17th in BI (Business Intelligence) Tools with 39 reviews. Databricks is rated 8.2, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Alteryx.
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