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."The solution is very easy to use."
"The setup was straightforward."
"Databricks' most valuable feature is the data transformation through PySpark."
"I like cloud scalability and data access for any type of user."
"We have the ability to scale, collaborate and do machine learning."
"We can scale the product."
"It is fast, it's scalable, and it does the job it needs to do."
"Ability to work collaboratively without having to worry about the infrastructure."
"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."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"The product is easily customized."
"This is a stable and scalable solution."
"The solution is user-friendly."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The best feature may be data flow, which is used to prepare and clean data."
"The integration features could be more interesting, more involved."
"The pricing of Databricks could be cheaper."
"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."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"A lot of people are required to manage this solution."
"I would like it if Databricks made it easier to set up a project."
"There are no direct connectors — they are very limited."
"It would be great if Databricks could integrate all the cloud platforms."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"This solution could be more adaptable in its application."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"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."
"It is less scalable than Snowflake."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
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, Microsoft Azure Machine Learning Studio and SAS Visual Analytics, 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.
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