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 setup was straightforward."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The solution offers a free community version."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"It is fast, it's scalable, and it does the job it needs to do."
"Databricks integrates well with other solutions."
"The processing capacity is tremendous in the database."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The best feature may be data flow, which is used to prepare and clean data."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It has the best feature for data augmentation."
"A valuable feature is the speed of the solution."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"There should be better integration with other platforms."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The Databricks cluster can be improved."
"The solution could be more flexible."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"This solution could be more adaptable in its application."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"They could improve the ease of developing the dashboard and interacting with it."
"It is less scalable than Snowflake."
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.