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 7.2% mindshare in the category. Oracle is ranked #10 in DDM , with an average rating of 8.5, and holds a 1.2% 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

2,446 Views
1,621 Comparison Views

96% willing to recommend

Oracle Essbase

Read 14 Oracle Essbase reviews

124 Views
101 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

Cloud Data Warehouse

February 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 (10th)

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 7.2%, up 2.7% compared to last year.
Oracle Essbase, on the other hand, focuses on Database Development and Management, holds 1.2% mindshare, up 0.7% 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

"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."

"The solution is easy to use and has a quick start-up time due to being on the cloud."

"The solution is built from Spark and has integration with MLflow, which is important for our use case."

"Databricks' most valuable feature is the data transformation through PySpark."

"It's easy to increase performance as required."

"I would rate them ten out of ten."

"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 solution is an impressive tool for data migration and integration."

More Databricks pros

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

"The solution is scalable."

"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."

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

"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."

"Essbase is extremely stable and low-maintenance."

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

More Oracle Essbase pros

Cons

"Databricks could improve in some of its functionality."

"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."

"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."

"The Databricks cluster can be improved."

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

"This solution only supports queries in SQL and Python, which is a bit limiting."

"Would be helpful to have additional licensing options."

"Databricks can improve by making the documentation better."

More Databricks cons

"The reporting tool of Essbase needs improvement."

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

"It's an expensive product to use."

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

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

"The initial setup could be simplified."

"They should improve the solution's performance."

"The initial setup is pretty complex."

More Oracle Essbase cons

Pricing and Cost Advice

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

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

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

"We're charged on what the data throughput is and also what the compute time is."

"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."

"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 solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"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."

More Databricks pricing and cost advice

"Essbase is competitively priced."

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

"The solution is expensive."

"It is a costly solution."

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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

11%

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

Dremio vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 7% of the time

More Databricks Competitors

Microsoft Power BI vs Oracle Essbase

Compared 33% of the time

SAP BusinessObjects Business Intelligence Platform vs Oracle Essbase

Compared 18% 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

Alteryx vs Oracle Essbase

Compared 3% of the time

More Oracle Essbase Competitors

Product Reports

Buyer's Guide

Databricks

February 2025

Download Databricks product report

Buyer's Guide

Oracle Essbase

February 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: February 2025.

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