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.

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Buyer's Guide

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March 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.

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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 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 initial setup phase of Databricks was good."

"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."

"Its lightweight and fast processing are valuable."

"The most valuable feature of Databricks is the integration with Microsoft Azure."

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

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

"Automation with Databricks is very easy when using the API."

More Databricks pros

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

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

"Essbase is a kind of backbone, or back end, for systems like Hyperion Planning."

"The solution is stable and reliable."

"Essbase is extremely stable and low-maintenance."

"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 can handle a large volume of data."

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

More Oracle Essbase pros

Cons

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

"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."

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

"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."

"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."

"Can be improved by including drag-and-drop features."

"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."

"Cluster failure is one of the biggest weaknesses I notice in our Databricks."

More Databricks cons

"The reporting tool of Essbase needs improvement."

"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."

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

"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."

"They should improve the solution's performance."

"The initial setup could be simplified."

More Oracle Essbase cons

Pricing and Cost Advice

"It is an expensive tool. The licensing model is a pay-as-you-go one."

"Databricks uses a price-per-use model, where you can use as much compute as you need."

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

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."

"The price is okay. It's competitive."

"We only pay for the Azure compute behind the solution."

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

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

More Databricks pricing and cost advice

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

"It is a costly solution."

"The solution is expensive."

"Essbase is competitively priced."

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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 ...

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 8% 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 31% of the time

SAP BusinessObjects Business Intelligence Platform vs Oracle Essbase

Compared 16% of the time

SAP Analytics Cloud vs Oracle Essbase

Compared 14% of the time

IBM Planning Analytics vs Oracle Essbase

Compared 7% of the time

Alteryx vs Oracle Essbase

Compared 3% of the time

More Oracle Essbase Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

Oracle Essbase

March 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: March 2025.

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