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."I work in the data science field and I found Databricks to be very useful."
"The solution is very easy to use."
"The setup is quite easy."
"The ability to stream data and the windowing feature are valuable."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"It is easy to use...I rate the scalability of the solution a nine out of ten."
"It's the connectors, the adapters. Built in connectors with different ERPs, you can plug in XL, other sources of data. It's very easy to configure. It's very easy to use."
"They were reasonable in terms of price."
"I have found the most valuable features are business intelligence and reporting."
"It has a lot workaround in order to do the report. data blending, and getting information from big data sources."
"The most valuable features of Oracle OBIEE are the ease of logging in, the dashboard, and showing the problems in the data. Additionally, the reports are well integrated and it has good technology."
"The solution is user-friendly."
"There are a lot of functions in the product, including a drill-down functionality and level-based hierarchies that are very attractive."
"There is room for improvement in the documentation of processes and how it works."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks could improve in some of its functionality."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"It's not easy to use, and they need a better UI."
"A lot of people are required to manage this solution."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"It would be better if it had a wide range of visualization options. For example, Microsoft Power BI has an extensive range of visualization options, but it's not available in OBIEE. There are also some conflicts because it's complicated, but the cloud application is easier. They added some features for ETL with the on-premises application, but we need a different or a separate application for ETL in the cloud. In the next release, I would like to have more AI features."
"I would like to see enhancements in tracking, debugging, and flexibility."
"Expanding beyond pure data reporting and into analytics, or expanding data science, would be areas for improvement."
"The solution is too expensive for small firms."
"Particularly on the Cloud, a lot of functionality has yet to be ported."
"It is not a good product for data visualization."
"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."
"Even though we have a feature to enable the physical query to be seen in the log, in case of any issues, it is challenging to debug and see or identify where is the issue. For example, we designed the OBIEE repository and deployed it into the server, and we are now accessing and creating a report. For some reason, if the report is not working as expected, it is very difficult to identify the issue. We have a feature to see the physical query that is being generated in the central OBIEE server. I feel that this feature should have been available at the repository level so that while designing the repository, we can select the presentation columns and the query it is going to create. This will avoid the additional task of deploying a feature into the server and then testing the report. It will also make the implementation process friendly if, while designing the repository, we can see: How is a feature working? Are any of the presentation columns selected? How is the query being generated? Which query is being generated? Are any joints used? What kind of joints are used? Having this kind of information will make Oracle OBIEE more powerful and developer-friendly."
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.
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.
