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 built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The main features of the solution are efficiency."
"The fast data loading process and data storage capabilities are great."
"The solution offers a free community version."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"It can send out large data amounts."
"The most valuable feature is the ability to run it in Exalytics within memory coupled to a Repository on Exadata is where it flies. So it's not meant for mom and pop shops, but if you are a global 500 fortune 1000 company, this is a tool that can get you what you need on time and even in real time."
"In terms of features, everything is good. It is also stable and scalable."
"The most valuable features of Oracle OBIEE are ease of use, the graphical user interface is simple to understand, and the reports can be done without problems. There are many tutorials and training materials available if needed."
"For me, it makes the difference is in terms of our users being able to take advantage of a product which allows you to get access to data, reports, make decisions quickly, and have better insights regarding operations."
"Can utilize SQL queries to generate reports directly."
"The most valuable features of the solution are the various scenarios the product offers and its stability."
"It provides excellent stability."
"It has a lot workaround in order to do the report. data blending, and getting information from big data sources."
"I believe that this product could be improved by becoming more user-friendly."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The integration of data could be a bit better."
"Can be improved by including drag-and-drop features."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"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."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"n the beginning it had it's stability issues, but it became stable."
"There are a lot of aspects of Oracle OBIEE that are exceptionally complicated, make things unnecessarily difficult for everyone who uses it. In terms of the integrations, Oracle needs to improve a little more, but I believe that they have tried to capture all those issues. The issues we are facing in the Oracle OBIEE 12C versions, in the Oracle Analytical Server Center or Analytical Cloud versions, Oracle has managed to overcome the challenges."
"It could be more user-friendly. For example, the RPD layer could be more straightforward. From a user's point of view, the visualization, especially the graphs, are not as attractive when compared to other tools like QlikView and Qlik Sense."
"Supply chain and finance."
"This solution is weak in the data science perspective. I have past data science experience. And, I find that there is a lot of room for improvement in terms of incorporating more advanced statistical modeling into the product."
"If the data is large, the dashboard takes a really long time. So, based on the database, if you have around a million cost contacts, the load time is very low, and the dashboard fails."
"Its functionality is lacking."
"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."
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 Data Science Studio, 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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