We performed a comparison between Databricks and Google Data Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It's easy to increase performance as required."
"Databricks has helped us have a good presence in data."
"The processing capacity is tremendous in the database."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"The technical support is good."
"We can scale the product."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"It's great technology."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The solution is free so that is a good feature."
"The ability to design complex data models and equations."
"Valuable features include advanced integrated analysis and easy implementation."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The ability to integrate with a great variety of data sources."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"There should be better integration with other platforms."
"Databricks' technical support takes a while to respond and could be improved."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Databricks has a lack of debuggers, and it would be good to see more components."
"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."
"Databricks could improve in some of its functionality."
"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."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"Panels are not as easy to use as other data extraction UIs."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"It's not yet a replacement for a complete BI tool."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Stability and scalability an be improved for a full ten."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Google Data Studio is ranked 13th in Reporting with 8 reviews. Databricks is rated 8.2, while Google Data Studio is rated 7.6. 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 Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and RStudio Connect.
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