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."Ability to work collaboratively without having to worry about the infrastructure."
"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."
"The integration with Python and the notebooks really helps."
"Databricks has helped us have a good presence in data."
"The solution is an impressive tool for data migration and integration."
"It can send out large data amounts."
"It is fast, it's scalable, and it does the job it needs to do."
"The processing capacity is tremendous in the database."
"It has allowed me to move my data to the cloud."
"The solution's technical support team is good."
"Ability to work with very large data sources without the limitations of Excel."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"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."
"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."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"A lot of people are required to manage this solution."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"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 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."
"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."
"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."
"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 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.
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