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 most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"The ability to stream data and the windowing feature are valuable."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"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."
"We can see almost-real-time performance in our operations. When there is a problem, it is easy to escalate it to top management and the time for management to make a decision about it is much shorter than it would be using a manual process."
"The solution has great reporting and forecasting capabilities."
"They were reasonable in terms of price."
"It mostly supports enterprise level data. We have millions of records on a daily basis."
"The most valuable feature is the visualization."
"The most valuable feature of Oracle OBIEE is its ease of use."
"It has a lot workaround in order to do the report. data blending, and getting information from big data sources."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"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."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"The Databricks cluster can be improved."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The integration features could be more interesting, more involved."
"Anyone who doesn't know SQL may find the product difficult to work with."
"The platform's interface needs improvement."
"The graphical capabilities could be better. They are also cumbersome, and they are limited compared to Tableau, Power BI, or even Business Objects to a certain extent and Cognos. The error logging isn't great either. The errors that come out when you schedule aren't easy to understand. I find how they filter within a query quite cumbersome and difficult to debug if somebody else has done it. You can see as you build, and I think that's where the problem is. It doesn't lend itself to debug something. For example, if you create a formula that's quite complicated, it's not easy to understand what goes with what. It becomes spaghetti, and it's very difficult to unpick. That's really my gripe about it, and in some ways, it's too flexible. It tries to be a Jack of all trades when it's not. I think a lot of these products, if they concentrate on trying to produce your reports, then that's fine. But when they're trying to do all sorts of other things as well, then it isn't very easy. We get lots of support from Oracle, but I think the problem is that we get many invalid file operations. Nobody understands why. It can be a multitude of reasons, but no one reason could cause it. That's just one of the issues we've had in the last year. But the scope of reporting has gone through the roof over the previous 12 to 18 months. We want an end-of-life OBIEE in our environment because some of the infrastructure runs unclustered. We weren't allowed to go clustered for some reason, and we never knew why. Unfortunately, going down that route means that the platform we run it on, WebLogic, has now become non-standard within our organization. Everything's been moved off it and onto other platforms. Unfortunately, our OBIEE runs on that platform, and we're being pushed down different routes, and we don't know where we're going at the moment. Within the next two years, I don't think we'll have OBIEE in our part of the business. In the next release, I think having the capability of being able to develop and then promote to a production environment rather than having to have separate environments will help. I know that Tableau and Power BI can be created on a desktop application, and then when it's ready to go live, you can promote it."
"The performance could improve and in a future release, they could provide more virtualization options."
"It needs a better security management system."
"The performance could be better."
"The pricing model could be improved. Right now, it's quite confusing. Many customers have this feeling that it's a super-expensive option."
"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."
"I would like to see the data wrangling features enhanced."
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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