We performed a comparison between Databricks and Oracle Essbase based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"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 has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"The solution is very simple and stable."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Easy to use and requires minimal coding and customizations."
"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."
"Unlike relational, where you're linking together multiple tables, with Essbase, you basically define what the dimensions are beforehand, and you define the hierarchy, and then load the data. This allows you to do a pretty sophisticated analysis so that you can drill into it and slice and dice the data."
"The solution is scalable."
"The solution can handle a large volume of data."
"I have found the most valuable aspect is the user-friendly environment and current features."
"It is highly efficient and easily scalable, particularly for handling large databases."
"Essbase is extremely stable and low-maintenance."
"It is very fast compared to other normal databases, like SQL and MySQL."
"It's a very powerful analytical engine with Essbase as the back end. We can analyze, transform, or utilize a big chunk of data for our calculations."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"Implementation of Databricks is still very code heavy."
"In the next release, I would like to see more optimization features."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The initial setup is pretty complex."
"I would like to see an integration with application performance management and a version control management tool."
"The reporting tool of Essbase needs improvement."
"There is room for improvement in terms of cost-effectiveness."
"The consolidation engine, which is HFM or FCCS, needs some room for improvement."
"It's an expensive product to use."
"They should improve the solution's performance."
"The ability to drive external reporting out for development could be improved."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle Essbase is ranked 10th in Database Development and Management with 12 reviews. Databricks is rated 8.2, while Oracle Essbase is rated 8.4. 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 Essbase writes " Handles a huge amount of data at a time and offers good processing speed". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Oracle Essbase is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, SAP Analytics Cloud, IBM Planning Analytics and Alteryx.
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