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."I work in the data science field and I found Databricks to be very useful."
"We have the ability to scale, collaborate and do machine learning."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"It can send out large data amounts."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"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 like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Allows users to build their own solutions without as much reliance on technology staff."
"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."
"A very simple setup: Easy to download, install, and updates are pain free."
"It has allowed me to move my data to the cloud."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"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."
"The initial setup is difficult."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"Implementation of Databricks is still very code heavy."
"It should have more compatible and more advanced visualization and machine learning libraries."
"There should be better integration with other platforms."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"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."
"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 love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"The administrative side of Sisense is a little cumbersome and confusing."
"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"
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
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 Domo.
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