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."The technical support is good."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The fast data loading process and data storage capabilities are great."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The ability to stream data and the windowing feature are valuable."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"No issues with stability. It is a very stable solution."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"Visually displaying data."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"The solution's technical support team is good."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"The tool should improve its integration with other products."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Would be helpful to have additional licensing options."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"The solution's setup process could be easier."
"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."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"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."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."
"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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Domo.
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.
