We performed a comparison between Databricks and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's very simple to use Databricks Apache Spark."
"The simplicity of development is the most valuable feature."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The technical support is good."
"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."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"The initial setup phase of Databricks was good."
"The fast data loading process and data storage capabilities are great."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"It's great for consolidation and creating one source of truth."
"The product is easily customized."
"The technical support is excellent, and they respond quickly."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The solution is user-friendly."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The pricing of Databricks could be cheaper."
"Doesn't provide a lot of credits or trial options."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Can be improved by including drag-and-drop features."
"There is room for improvement in the documentation of processes and how it works."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"This solution could be more adaptable in its application."
"They could improve the ease of developing the dashboard and interacting with it."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"Its FAW feature has limitations in terms of usage."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Databricks is rated 8.2, while Oracle Analytics Cloud is rated 8.0. 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 Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Confluent, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Tableau, Microsoft Power BI, Oracle Business Intelligence Cloud Service and SAP Analytics Cloud. See our Databricks vs. Oracle Analytics Cloud report.
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.