Databricks vs Oracle Essbase comparison

The compared Databricks and Oracle solutions aren't in the same category. Databricks is ranked #7 in CDW , with an average rating of 8.4, and holds a 8.8% mindshare in the category. Oracle is ranked #12 in DDM , with an average rating of 8.6, and holds a 1.0% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Databricks

Read 89 Databricks reviews

2,343 Views
1,662 Comparison Views

96% willing to recommend

Oracle Essbase

Read 14 Oracle Essbase reviews

130 Views
96 Comparison Views

100% willing to recommend

Databricks

Oracle Essbase

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Oracle Essbase based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: April 2025).

Buyer's Guide

Cloud Data Warehouse

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)

Oracle Essbase

Average Rating

8.4

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

Database Development and Management (12th)

Mindshare comparison

Databricks and Oracle Essbase aren’t in the same category and serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.8%, up 3.7% compared to last year.
Oracle Essbase, on the other hand, focuses on Database Development and Management, holds 1.0% mindshare, up 0.9% since last year.

Cloud Data Warehouse

Database Development and Management

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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RANOJOY PAUL

Analyst at Tata Consultancy

Stores multidimensional data, good customer support and interface is very easy

It is very fast compared to other normal databases, like SQL and MySQL. It doesn't store data in tables in the back end. To load data into Essbase, we need to prepare it in a table format. When we find the data in the table, we need to verify it. This way, you can rate the data. But Essbase stores multidimensional data. We have dimensions, which means the data belongs to some company or some time period. For example, if you work for three years, your salary should be something. In this way, we prepare top-level members called dimensions. The dimension defines your position, the year, and the section you were working in the company. We get an intersection of all these dimensions for certain data, and fetching that data is very fast in Essbase compared to normal SQL. If you store this data in a normal SQL table, you need to prepare a row with your company name, employee name, employee ID, joining date, and everything, and then you need to push it into a SQL table. You can search it using your query, but here, that thing is different. Here, you can collect data using forms, reports, and we use a Microsoft tool, which is an add-in called Smart View. Using that, you would just take that data. Here, you need to just create an integration of all these dimensions, and then only you can find the data.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's great technology."

"The most valuable feature of Databricks is the notebook, data factory, and ease of use."

"The solution is very easy to use."

"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 processing capacity is tremendous in the database."

"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."

"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."

"Databricks serves as a single platform that can handle numerous end-to-end machine learning tasks."

More Databricks pros

"Essbase is extremely stable and low-maintenance."

"It is highly efficient and easily scalable, particularly for handling large databases."

"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."

"The solution is stable and reliable."

"Oracle Essbase is a web integration system that integrates with other data systems."

"It is very fast compared to other normal databases, like SQL and MySQL."

"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."

More Oracle Essbase pros

Cons

"Performance could be improved."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

"The initial setup of Databricks could be complex."

"The integration features could be more interesting, more involved."

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."

"I believe that this product could be improved by becoming more user-friendly."

"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."

"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."

More Databricks cons

"I would like to see an integration with application performance management and a version control management tool."

"The solution could enhance business analytics. I delved into the data using Oracle Essbase to create a new support tool."

"The reporting tool of Essbase needs improvement."

"The main concern is that Oracle is ending on-premises server support, so it would be better if there was a cloud platform available for Oracle Essbase."

"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."

"It's an expensive product to use."

"The consolidation engine, which is HFM or FCCS, needs some room for improvement."

"They should improve the solution's performance."

More Oracle Essbase cons

Pricing and Cost Advice

"The solution is a good value for batch processing and huge workloads."

"The solution requires a subscription."

"The billing of Databricks can be difficult and should improve."

"I would rate the tool’s pricing an eight out of ten."

"There are different versions."

"The solution is affordable."

"The product pricing is moderate."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

More Databricks pricing and cost advice

"It is a costly solution."

"The solution is expensive."

"Essbase is competitively priced."

"I believe the licensing is on a monthly base."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

23%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What is your experience regarding pricing and costs for Oracle Essbase?

It's not that expensive, but also not cheap. I'm not sure because it's a private license.

See all answers

What needs improvement with Oracle Essbase?

If I got the opportunity to work with Hyperion, which is the best product, I would definitely go with that. The main concern is that Oracle is ending on-premises server support, so it would be bett...

See all answers

What is your primary use case for Oracle Essbase?

We provide complete ownership of this application to Walmart projects. In the UK system, we support and develop for the Asda account, known as Eltham. We provide installation and support to over 50...

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 7% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

More Databricks Competitors

Microsoft Power BI vs Oracle Essbase

Compared 29% of the time

SAP BusinessObjects Business Intelligence Platform vs Oracle Essbase

Compared 13% of the time

SAP Analytics Cloud vs Oracle Essbase

Compared 13% of the time

IBM Planning Analytics vs Oracle Essbase

Compared 6% of the time

Workday Prism Analytics vs Oracle Essbase

Compared 3% of the time

More Oracle Essbase Competitors

Product Reports

Buyer's Guide

Databricks

May 2025

Download Databricks product report

Buyer's Guide

Oracle Essbase

April 2025

Download Oracle Essbase product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Essbase

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Oracle Essbase is an OLAP (Online Analytical Processing) Server that provides an environment for deploying pre-packaged applications or developing custom analytic and enterprise performance management applications.

Oracle

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

CHU de Rennes, Bellco Credit Union, Akindo Sushiro Co. Ltd, Deutsche Telekom AG, Samarco MineraÊo S.A., PCCW Ltd., QDQ media S.A.U., Boiron Italia, Specialized Bicycle Components Inc., Akindo Sushiro Co. Ltd., Air Canada, Daelim Industrial Co. Ltd.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: April 2025.

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