We performed a comparison between Birst and Databricks based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting."Dashboards and self-service reports. These are widely used by customers in the EPM domain."
"The ease of use and its accessibility are valuable."
"It's easy to increase performance as required."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"It's very simple to use Databricks Apache Spark."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"The fast data loading process and data storage capabilities are great."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"Customer support takes lot of time to get a solution."
"The Databricks cluster can be improved."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"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."
"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 integration features could be more interesting, more involved."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"I have seen better user interfaces, so that is something that can be improved."
Earn 20 points
Birst is ranked 32nd in Reporting while Databricks is ranked 1st in Data Science Platforms with 78 reviews. Birst is rated 7.4, while Databricks is rated 8.2. The top reviewer of Birst writes "The dashboards and Visualizer are valuable". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Birst is most compared with Microsoft Power BI, ThoughtSpot and Alteryx, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio.
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