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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
6.6
Organizations experience mixed returns from Databricks, with benefits from cost savings and efficiency, but challenges in initial migration.
Sentiment score
6.6
Oracle Exadata users often break-even in 12-18 months, achieving up to 40% cost savings and notable performance improvements.
For a lot of different tasks, including machine learning, it is a nice solution.
When it comes to big data processing, I prefer Databricks over other solutions.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
7.2
Databricks customer service is generally effective with prompt responses, though some report issues mainly with third-party support channels.
Sentiment score
6.6
Oracle Exadata's service is praised for expertise and accessibility, though some users face delays and system navigation issues.
Whenever we reach out, they respond promptly.
As of now, we are raising issues and they are providing solutions without any problems.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for efficient scalability and cloud compatibility, allowing easy resource adjustment across diverse projects and industries.
Sentiment score
7.6
Oracle Exadata is praised for scalability and efficiency but requires careful planning due to costs and complexity considerations.
Databricks is an easily scalable platform.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Within a site, scalability is excellent.
 

Stability Issues

Sentiment score
7.6
Databricks is stable and efficient for large data, with minor issues during updates and occasional connectivity challenges.
Sentiment score
7.8
Oracle Exadata ensures high reliability with improved updates, minimal downtime, and strong fault tolerance despite early challenges.
They release patches that sometimes break our code.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Cluster failure is one of the biggest weaknesses I notice in our Databricks.
Once installed, Exadata is very stable.
 

Room For Improvement

Databricks users desire improved UI, enhanced data visualization, better integration, clearer error messages, robust support, and comprehensive documentation.
Oracle Exadata needs cost reductions, improved support, better integration, scalability, analytics, monitoring tools, and enhanced virtualization performance.
If I could right-click to copy absolute paths or to read files directly into a data frame, it would standardize and simplify the process.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
This feature, if made publicly available, may act as a game-changer, considering many global organizations use SAP data for their ERP requirements.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
 

Setup Cost

Databricks pricing depends on usage, with flexibility in licensing, and can vary in competitiveness compared to other solutions.
Oracle Exadata's high initial costs are offset by enhanced performance, lower expenses, and enterprise consolidation benefits.
It is not a cheap solution.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
 

Valuable Features

Databricks provides a unified platform for data engineering, machine learning, seamless cloud integration, and robust data management capabilities.
Oracle Exadata enhances performance and efficiency with features like Smart Scan, automation, and high-speed integration, ensuring robust data management.
Databricks' capability to process data in parallel enhances data processing speed.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Developers can share their notebooks. Git and Azure DevOps integration on the Databricks side is also very helpful.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
89
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
128
Ranking in other categories
Data Warehouse (2nd)
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
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.
Anand_Kumar - PeerSpot reviewer
A solid data warehouse for transactional data that needs to be priced more competitively
Since the product is an appliance, it is very costly. And in the current age, people are cautious about spending this amount of money on any of these types of backend products. Some use cases are in real-time, where all other databases are much faster, but if you talk about the data warehouse, business intelligence, and all other perspectives in the transactional world, Oracle has to reduce the cost. Otherwise, a customer wouldn't want to continue this. If the same thing can be done at half or one-third of the cost, why would people stay with Oracle? Oracle Exadata would not have great value in front of a CFO. Other solutions can guard your data and address security concerns. Security, volumetrics, and so on are also provided by other databases, which are not that costly. Apart from Exadata, Oracle has other tools for business intelligence and other things, which they add on top of Exadata when they're selling a general license. For example, the Vertica database, an HP data warehouse. They have come up with their own analytic engine within the database, which gives an edge for the client to use the data analytics engine as a part of their database. Exadata does not have an analytic engine. Even MySQL has some statistical tools within it. If Exadata integrates analytical tools, it will be good for them.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
32%
Computer Software Company
12%
Government
6%
Manufacturing Company
5%
 

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 ...
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?
The price is a major consideration. I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
What needs improvement with Oracle Exadata?
We recently completed an extension of our storage space. There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and cust...
 

Comparisons

 

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: April 2025.
850,028 professionals have used our research since 2012.