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."Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The solution offers a free community version."
"The initial setup phase of Databricks was good."
"The solution is an impressive tool for data migration and integration."
"The solution is very easy to use."
"We can scale the product."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"It's great for consolidation and creating one source of truth."
"The technical support services are good."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The best feature may be data flow, which is used to prepare and clean data."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The solution can scale."
"It has the best feature for data augmentation."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"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's not easy to use, and they need a better UI."
"The integration of data could be a bit better."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The pricing of Databricks could be cheaper."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"They could improve the ease of developing the dashboard and interacting with it."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
Databricks is ranked 1st in Data Science Platforms with 77 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 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, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Domino Data Science Platform, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Tableau, Microsoft Power BI, Oracle Business Intelligence Cloud Service and Qlik Sense. See our Databricks vs. Oracle Analytics Cloud report.
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