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."Its lightweight and fast processing are valuable."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The solution is very easy to use."
"The ease of use and its accessibility are valuable."
"We can scale the product."
"I work in the data science field and I found Databricks to be very useful."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"I have found the dashboard creating feature helpful."
"This solution is easy to learn how to use."
"The solution's technical support team is good."
"Visually displaying data."
"It has allowed me to move my data to the cloud."
"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."
"Doesn't provide a lot of credits or trial options."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"It would be great if Databricks could integrate all the cloud platforms."
"The pricing of Databricks could be cheaper."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"The integration of data could be a bit better."
"Databricks can improve by making the documentation better."
"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."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"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."
"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."
"The solution's setup process could be easier."
"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."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
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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