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 90 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: May 2025).

Buyer's Guide

Cloud Data Warehouse

May 2025

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Helped 851,823 peers since 2012

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

"The simplicity of development is the most valuable feature."

"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."

"The load distribution capabilities are good, and you can perform data processing tasks very quickly."

"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."

"Databricks offers various courses that I can use, whether it's PySpark, Scala, or R."

"Databricks integrates well with other solutions."

"Easy to use and requires minimal coding and customizations."

More Databricks pros

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

"It helps us fetch specific data sets per users' requirements."

"The solution is scalable."

"Essbase is extremely stable and low-maintenance."

"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."

"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."

More Oracle Essbase pros

Cons

"There should be better integration with other platforms."

"The product needs samples and templates to help invite users to see results and understand what the product can do."

"Doesn't provide a lot of credits or trial options."

"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."

"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."

"It would be very helpful if Databricks could integrate with platforms in addition to Azure."

"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."

"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."

More Databricks cons

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

"There is room for improvement in terms of cost-effectiveness."

"The initial setup is pretty complex."

"The initial setup could be simplified."

"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."

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

"The ability to drive external reporting out for development could be improved."

More Oracle Essbase cons

Pricing and Cost Advice

"I rate the price of Databricks as eight out of ten."

"There are different versions."

"The solution is affordable."

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

"The solution requires a subscription."

"Databricks' cost could be improved."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

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

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

23%

Computer Software Company

11%

Insurance Company

Manufacturing 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

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Microsoft Power BI vs Oracle Essbase

Compared 28% 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 7% 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

May 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: May 2025.

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