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 initial setup phase of Databricks was good."
"The initial setup is pretty easy."
"I work in the data science field and I found Databricks to be very useful."
"The ease of use and its accessibility are valuable."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The processing capacity is tremendous in the database."
"The technical support is good."
"The main features of the solution are efficiency."
"This solution is easy to learn how to use."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."
"Support is very responsive and clearly one of the strengths of Sisense. I have always received a fast response and the staff is very helpful."
"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."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"I would like more integration with SQL for using data in different workspaces."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"There is room for improvement in visualization."
"I have seen better user interfaces, so that is something that can be improved."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Would be helpful to have additional licensing options."
"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 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."
"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."
"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."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"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."
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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