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Databricks vs Oracle Exadata comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.4
Users experience mixed returns with Databricks, noting cost efficiency and scalability but facing challenges with measuring monetary gains.
Sentiment score
6.0
Oracle Exadata offers significant ROI in 12-18 months, with cost savings, performance gains, but challenges in ROI calculation.
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
The investment is good, which is why people choose this hardware.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
 

Customer Service

Sentiment score
7.0
Databricks customer service is praised for prompt, professional support, though some report delays; documentation helps many users.
Sentiment score
6.6
Oracle Exadata support is generally positive, but response consistency varies, with mixed reactions to Platinum services.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
Data Engineer at CRAFT Tech
If I were to rate their support from one to ten, I would say between nine to ten.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
This involved creating blueprints for integrating Oracle products into client systems, followed by technical presentations to Oracle teams and stakeholders.
CISO at a tech services company with 11-50 employees
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for its scalability, elasticity, and auto-scaling, providing high performance and flexibility across industries.
Sentiment score
7.5
Oracle Exadata provides highly rated scalability, enabling easy expansion and efficient resource addition for varying organizational demands.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
Within a site, scalability is excellent.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
 

Stability Issues

Sentiment score
7.6
Databricks is highly rated for reliability and efficiency, with minor issues quickly resolved, boasting strong user stability scores.
Sentiment score
7.8
Oracle Exadata is stable and reliable, with improved updates, despite occasional bugs and initial firmware issues.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
Once installed, Exadata is very stable.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
 

Room For Improvement

Databricks needs better visualization, integration, clearer errors, UI enhancements, wider platform support, and improved documentation and usability.
Oracle Exadata users face high costs and complexity, seeking better performance, support, and integration with cloud technologies.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
I cannot create an extended rack cluster with one node on one site and another node on a different site.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
Senior Oracle DBA at a financial services firm with 11-50 employees
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databases, which is making the database more user-friendly.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
 

Setup Cost

Databricks' pricing varies widely based on usage and data volume, making it cost-effective yet potentially expensive for large-scale use.
Oracle Exadata offers high performance but is costly, suitable for large enterprises with potential cost-saving strategies available.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
Senior Oracle DBA at a financial services firm with 11-50 employees
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not be that useful.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
 

Valuable Features

Databricks excels in ease of use, scalability, integration, and data governance, enhancing productivity and collaboration for data engineering.
Oracle Exadata offers fast response, high performance, scalability, and efficient data warehousing through advanced features and seamless hardware-software integration.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
The most valuable features of Oracle Exadata are its high availability and cluster environment.
Senior Oracle DBA at a financial services firm with 11-50 employees
If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
130
Ranking in other categories
Data Warehouse (2nd)
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Prabir Kumar Kundu - PeerSpot reviewer
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
Has consistently delivered high performance and aligned security while evolving with AI-driven improvements
When discussing Oracle Exadata, the main thing is the specialized database appliance, the flash cache, and the engineered machine on the database for the database itself. Overall, all the features are useful and meaningful for any database like Oracle to run the Oracle database. Regarding Smart Scan technology, it is for better performance. If a customer cannot tune their applications, this will help them to run the database and run the application without any tuning itself. Oracle Exadata's advanced compression techniques have affected my customer's data storage efficiency positively, with the feature being great, but as of now, our customer is not using that. I find its security measures align with my customer's organization, as security is aligned as per the customer's requirement. It has helped optimize performance and cost.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
29%
Computer Software Company
7%
Manufacturing Company
6%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise14
Large Enterprise86
 

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 ...
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...
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...
What do you like most about Oracle Exadata?
It is the best solution for OLTP and data warehousing.
What is your experience regarding pricing and costs for Oracle Exadata?
I find its pricing reasonable and cost-effective for large organizations, but for smaller organizations, it may not be that useful.
What needs improvement with Oracle Exadata?
I believe that there is still room for improvement in Oracle Exadata, as they are putting AI features on those databases, which is making the database more user-friendly. Even you can talk to the d...
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Find out what your peers are saying about Databricks vs. Oracle Exadata and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.