We performed a comparison between Databricks and Oracle Business Intelligence Cloud Service based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Automation with Databricks is very easy when using the API."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"The initial setup phase of Databricks was good."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"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 is a cost-effective solution."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Easy to use and requires minimal coding and customizations."
"The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities."
"Initial setup was straightforward."
"The solution effectively integrates with third-party products."
"Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"The product cannot be integrated with a popular coding IDE."
"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 like more integration with SQL for using data in different workspaces."
"The pricing of Databricks could be cheaper."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Quality of support varies."
"In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience."
"When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."
"The dashboard could be improved and include additional features."
More Oracle Business Intelligence Cloud Service Pricing and Cost Advice →
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle Business Intelligence Cloud Service is ranked 21st in BI (Business Intelligence) Tools with 4 reviews. Databricks is rated 8.2, while Oracle Business Intelligence Cloud Service is rated 7.2. 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 Oracle Business Intelligence Cloud Service writes "Highly scalable with very good configuration, customization, and migration". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas Oracle Business Intelligence Cloud Service is most compared with Oracle Analytics Cloud.
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