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."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."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"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."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The setup was straightforward."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Ability to work collaboratively without having to worry about the infrastructure."
"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."
"The solution is free so that is a good feature."
"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."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The ability to integrate with a great variety of data sources."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to design complex data models and equations."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Can be improved by including drag-and-drop features."
"The tool should improve its integration with other products."
"We'd like a more visual dashboard for analysis It needs better UI."
"Anyone who doesn't know SQL may find the product difficult to work with."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"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."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Stability and scalability an be improved for a full ten."
"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."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"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."
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.
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.