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."The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The fast data loading process and data storage capabilities are great."
"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."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The solution is free so that is a good feature."
"The ability to integrate with a great variety of data sources."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"Valuable features include advanced integrated analysis and easy implementation."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The ability to design complex data models and equations."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"The initial setup is difficult."
"In the next release, I would like to see more optimization features."
"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."
"It would be great if Databricks could integrate all the cloud platforms."
"Databricks could improve in some of its functionality."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"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."
"Panels are not as easy to use as other data extraction UIs."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"It's not yet a replacement for a complete BI tool."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Google Data Studio is ranked 14th 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 QlikView.
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