We performed a comparison between Databricks and Oracle OBIEE based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The solution offers a free community version."
"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."
"Easy to use and requires minimal coding and customizations."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The setup was straightforward."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"It doesn't have many frills and is definitely older technology, but it is undeniably a workhorse."
"Its robustness is most valuable. It can handle massive amounts of data quickly. If it's properly configured and tuned, it can handle massive amounts of data very quickly to produce results. That to me is the number one feature."
"Provides good data visualization features, and provides a lot of visualization reports from various data sources."
"The solution is easy to use and very flexible."
"The performance can issue queries to work in the Oracle database in Oracle's native language. There are a lot of visualizations which suit our business."
"Both the vertical and horizontal scalability of the solution is good. In terms of scalability, I would rate this solution a nine out of ten."
"I like the cloud deployment feature. There are about 20 new features, and they are available on mobile and more. I haven't used any of them, but these features are highly attractive."
"They are introducing AI. There are good forecasting features and machine learning."
"The integration and query capabilities can be improved."
"The product should provide more advanced features in future releases."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"There should be better integration with other platforms."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"We'd like a more visual dashboard for analysis It needs better UI."
"The initial setup is difficult."
"A lot of people are required to manage this solution."
"There's a lot of redundancy, especially in relation to creating the code."
"The main problem we face is migrating all of the reports into the solution."
"The solution is too expensive for small firms."
"From the point of view of strategic management, I would like to have a feature, perhaps a form after we get to the KPI dashboard, to be used to note if something unusual happens in the operations. That way we could record extreme KPI situations, and track why a number is very low or too high."
"In the on-premises version, the feature for connecting and selecting the data between the databases looks a bit cumbersome, but I am not sure. The person who is using it takes a lot of time to design a data warehouse. When I ask him why is it taking this long, I get a response that this is something that he has to design, and there are different tools that are available. He has to write the ETL and design the warehouse according to the customer's requirement, which takes a lot of time. Its visualization should be enhanced, and there should be a feature where you can easily create your custom data warehouse."
"Essbase integration needs to be worked on."
"Oracle OBIEE only displays KPIs, but it does not include strategic objectives or display risk in a strategic map."
"Oracle OBIEE can improve the ease of use. It is a lot to learn and it could be made easier."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle OBIEE is ranked 3rd in BI (Business Intelligence) Tools with 154 reviews. Databricks is rated 8.2, while Oracle OBIEE is rated 7.8. 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 OBIEE writes "A solution that is easily accessible, scalable and requires a straightforward initial setup process to get started". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas Oracle OBIEE is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, IBM Cognos, Tableau and Oracle Analytics Cloud.
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