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 8.3, and holds a 8.4% 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 88 Databricks reviews

2,196 Views
1,662 Comparison Views

96% willing to recommend

Oracle Essbase

Read 14 Oracle Essbase reviews

136 Views
95 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 8.4%, up 3.2% compared to last year.
Oracle Essbase, on the other hand, focuses on Database Development and Management, holds 1.0% mindshare, up 0.8% 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.

Read full review

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

"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 feature is the data transformation through PySpark."

"We can scale the product."

"Databricks is a robust solution for big data processing, offering flexibility and powerful features."

"Databricks has helped us have a good presence in data."

"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."

"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."

"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."

More Databricks pros

"The solution can handle a large volume of data."

"The solution is stable and reliable."

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

"The solution is scalable."

"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."

"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."

"I have found the most valuable aspect is the user-friendly environment and current features."

More Oracle Essbase pros

Cons

"We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller."

"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."

"I would like it if Databricks made it easier to set up a project."

"Implementation of Databricks is still very code heavy."

"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."

"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."

"There would also be benefits if more options were available for workers, or the clusters of the two points."

"The solution has some scalability and integration limitations when consolidating legacy systems."

More Databricks cons

"The reporting tool of Essbase needs improvement."

"The initial setup could be simplified."

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

"They should improve the solution's performance."

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

"It's an expensive product to use."

"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."

More Oracle Essbase cons

Pricing and Cost Advice

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"The solution is based on a licensing model."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"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."

"The price of Databricks is reasonable compared to other solutions."

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."

More Databricks pricing and cost advice

"It is a costly solution."

"Essbase is competitively priced."

"The solution is expensive."

"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

11%

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 ...

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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

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Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% 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 14% 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

MicroStrategy vs Oracle Essbase

Compared 3% of the time

More Oracle Essbase Competitors

Product Reports

Buyer's Guide

Databricks

April 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.

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