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."It can send out large data amounts."
"The solution is an impressive tool for data migration and integration."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Databricks' most valuable feature is the data transformation through PySpark."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"Visually displaying data."
"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."
"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."
"Allows users to build their own solutions without as much reliance on technology staff."
"This solution is easy to learn how to use."
"It has allowed me to move my data to the cloud."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The integration of data could be a bit better."
"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."
"We'd like a more visual dashboard for analysis It needs better UI."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"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."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"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."
"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."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"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 solution's setup process could be easier."
"The administrative side of Sisense is a little cumbersome and confusing."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
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.
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.
