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Apache Hadoop vs Oracle Exadata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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
5.4
Apache Hadoop offers cost-effective storage and processing, benefiting some with analytics and optimizing data applications for resource savings.
Sentiment score
6.0
Oracle Exadata offers significant ROI in 12-18 months, with cost savings, performance gains, but challenges in ROI calculation.
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
6.1
Customer service for Apache Hadoop varies, with differing satisfaction levels and reliance on external resources and forums for support.
Sentiment score
6.6
Oracle Exadata support is generally positive, but response consistency varies, with mixed reactions to Platinum services.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
Financial Advisor at a financial services firm with 10,001+ employees
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
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
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
 

Scalability Issues

Sentiment score
7.4
Apache Hadoop is valued for its scalability, supporting large data and users effectively, especially in cloud environments.
Sentiment score
7.5
Oracle Exadata provides highly rated scalability, enabling easy expansion and efficient resource addition for varying organizational demands.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
Financial Advisor at a financial services firm with 10,001+ employees
Within a site, scalability is excellent.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
 

Stability Issues

Sentiment score
7.1
Apache Hadoop is stable and reliable in multi-node clusters, performing well with minimal instability during high-load operations.
Sentiment score
7.8
Oracle Exadata is stable and reliable, with improved updates, despite occasional bugs and initial firmware issues.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
Financial Advisor at a financial services firm with 10,001+ employees
Once installed, Exadata is very stable.
Senior Infrastructure Specialist at a financial services firm with 11-50 employees
 

Room For Improvement

Apache Hadoop needs user-friendly enhancements, better integration, improved security, streamlined setup, and modernized features and support.
Oracle Exadata users face high costs and complexity, seeking better performance, support, and integration with cloud technologies.
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it.
Financial Advisor at a financial services firm with 10,001+ 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
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 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
 

Setup Cost

Enterprise Apache Hadoop pricing varies greatly, influenced by distribution choice, deployment type, and specific usage requirements.
Oracle Exadata offers high performance but is costly, suitable for large enterprises with potential cost-saving strategies available.
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

Apache Hadoop offers scalable, cost-effective data processing, supporting diverse environments with fault tolerance, integration, and analytics tools like Hive.
Oracle Exadata offers fast response, high performance, scalability, and efficient data warehousing through advanced features and seamless hardware-software integration.
If you don't do the upgrades, the platform ages out, and that's what happened to the Hadoop content.
Financial Advisor at a financial services firm with 10,001+ employees
Apache Hadoop helps us in cases of hardware failure because it works 24/7, and sometimes servers crash in the field.
Principle Network and Database Engr at Parsons Corporation
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

Apache Hadoop
Ranking in Data Warehouse
6th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
41
Ranking in other categories
No ranking in other categories
Oracle Exadata
Ranking in Data Warehouse
2nd
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
130
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.6%, down from 4.3% compared to the previous year. The mindshare of Oracle Exadata is 8.7%, down from 17.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Oracle Exadata8.7%
Apache Hadoop3.6%
Other87.7%
Data Warehouse
 

Q&A Highlights

DD
Chief Manager MIS at Indian Bank
Jul 04, 2023
 

Featured Reviews

NR
Financial Advisor at a financial services firm with 10,001+ employees
Reliable performance maintained but requires ongoing management and support
Hadoop was used for years, but there were problems since the people who originally set it up left the firm. The group that owned it later didn't have the technical resources to properly maintain it. Although there was nothing wrong with Hadoop itself, issues arose without proper management and upgrades.
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
33%
Computer Software Company
7%
Government
5%
University
4%
Financial Services Firm
27%
Computer Software Company
7%
Manufacturing Company
5%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise21
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise14
Large Enterprise86
 

Questions from the Community

What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it. This wa...
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...
 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
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 Apache Hadoop vs. Oracle Exadata and other solutions. Updated: January 2026.
881,665 professionals have used our research since 2012.