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."
"The solution offers a free community version."
"Databricks integrates well with other solutions."
"We have the ability to scale, collaborate and do machine learning."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The ability to stream data and the windowing feature are valuable."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"No issues with stability. It is a very stable solution."
"This solution is easy to learn how to use."
"I have found the dashboard creating feature helpful."
"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."
"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."
"It has allowed me to move my data to the cloud."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Implementation of Databricks is still very code heavy."
"Databricks can improve by making the documentation better."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"The Databricks cluster can be improved."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"The solution's setup process could be easier."
"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."
"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."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
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.
