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."Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The initial setup phase of Databricks was good."
"Databricks integrates well with other solutions."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"Databricks' most valuable feature is the data transformation through PySpark."
"It has allowed me to move my data to the cloud."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"Allows users to build their own solutions without as much reliance on technology staff."
"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."
"Ability to work with very large data sources without the limitations of Excel."
"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."
"I have found the dashboard creating feature helpful."
"Visually displaying data."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"In the next release, I would like to see more optimization features."
"Doesn't provide a lot of credits or trial options."
"Anyone who doesn't know SQL may find the product difficult to work with."
"CI/CD needs additional leverage and support."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The administrative side of Sisense is a little cumbersome and confusing."
"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."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"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."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"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."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
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 Alteryx.
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.