We performed a comparison between Dremio 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 most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory."
"Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."
"Everyone uses Dremio in my company; some use it only for the analytics function."
"Dremio gives you the ability to create services which do not require additional resources and sterilization."
"Dremio allows querying the files I have on my block storage or object storage."
"We primarily use Dremio to create a data framework and a data queue."
"The most valuable feature of Oracle OBIEE, for me, would be the Web Catalog. From a development perspective, I do not need any client or any software to be installed on my laptop or desktop. Everything is browser-based, so I just open the browser and start development."
"I have found the most valuable features are business intelligence and reporting."
"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."
"The security is good. For example, we can implement column-level security."
"Oracle OBIEE is very easy to use. Looking at analytics, I think they have come a long way by adding new features like visualization, which is really cool."
"The most valuable feature is the reporting."
"Oracle OBIEE is good for data visualization and analytical reporting."
"It is easy to create a report quickly. It does not take much time to create an ad hoc report."
"It shows errors sometimes."
"They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people."
"I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported."
"We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily."
"Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake."
"Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement."
"Managing the OB applications requires a high level of experience, and makes the solution quite heavy."
"It is very biased towards Oracle infrastructure. One of the major red flags we have at the moment against Oracle is that it doesn't support deployment on other cloud providers. We're quite heavily vested in AWS as our infrastructure, and Oracle is yet to formally support deploying on those virtual infrastructure instances. That's quite disappointing, and it also cuts them out of over 70% of the market."
"Expanding beyond pure data reporting and into analytics, or expanding data science, would be areas for improvement."
"Its overall organization as an analytical tool, the layout of OBIEE, is not very good."
"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."
"One feature I would definitely like to see is the ability to provide the in-memory data. Oracle might have some plugins but, as of now, that feature isn't available out-of-the-box. You might have to purchase that feature."
"There could be better integration with other solutions, such as Microsoft Office."
Dremio is ranked 9th in Data Science Platforms with 6 reviews while Oracle OBIEE is ranked 3rd in BI (Business Intelligence) Tools with 154 reviews. Dremio is rated 8.6, while Oracle OBIEE is rated 7.8. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". 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". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, 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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