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."We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks helps crunch petabytes of data in a very short period of time."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"I work in the data science field and I found Databricks to be very useful."
"The integration with Python and the notebooks really helps."
"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."
"Initial setup was straightforward."
"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."
"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."
"The solution effectively integrates with third-party products."
"I believe that this product could be improved by becoming more user-friendly."
"A lot of people are required to manage this solution."
"The initial setup is difficult."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The pricing of Databricks could be cheaper."
"I would like it if Databricks made it easier to set up a project."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"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."
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Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle Business Intelligence Cloud Service is ranked 20th 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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Oracle Business Intelligence Cloud Service is most compared with Oracle Analytics Cloud.
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