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 work in the data science field and I found Databricks to be very useful."
"Automation with Databricks is very easy when using the API."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The processing capacity is tremendous in the database."
"The time travel feature is the solution's most valuable aspect."
"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."
"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 simplicity of development is the most valuable feature."
"The solution is stable and reliable."
"The solution can handle a large volume of data."
"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."
"It is highly efficient and easily scalable, particularly for handling large databases."
"I have found the most valuable aspect is the user-friendly environment and current features."
"The solution is scalable."
"Essbase is extremely stable and low-maintenance."
"It helps us fetch specific data sets per users' requirements."
"I would like it if Databricks made it easier to set up a project."
"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."
"The integration and query capabilities can be improved."
"CI/CD needs additional leverage and support."
"Databricks' technical support takes a while to respond and could be improved."
"The product cannot be integrated with a popular coding IDE."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"It's not easy to use, and they need a better UI."
"The ability to drive external reporting out for development could be improved."
"It's an expensive product to use."
"They should improve the solution's performance."
"The initial setup is pretty complex."
"There is room for improvement in terms of cost-effectiveness."
"Essbase has a programming language, and it has a couple of functions to do forecasting, however, their feature set for that is not that good."
"I would like to see an integration with application performance management and a version control management tool."
"The initial setup could be simplified."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Oracle Essbase is ranked 10th in Database Development and Management with 10 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 "It is easy to use and receives patch updates on regular intervals ". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Oracle Essbase is most compared with Microsoft Power BI, SAP BusinessObjects Business Intelligence Platform, SAP Analytics Cloud, Oracle Analytics Cloud and Alteryx.
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