Try our new research platform with insights from 80,000+ expert users

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
6.5
Apache Hadoop offers cost-effective storage and processing, with varying returns based on analytics sophistication and workload optimization.
Sentiment score
6.6
Oracle Exadata offers up to 300% ROI with significant cost savings and efficiencies, despite a learning curve.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
6.5
Apache Hadoop's support varies, with high satisfaction from vendor packages, responsive teams, and helpful documentation and community.
Sentiment score
6.6
Oracle Exadata customer service is praised for improvements but faces challenges with response times and support system navigation.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.6
Apache Hadoop offers scalable data management for large-scale deployments, efficiently supports diverse users and adapts across industries.
Sentiment score
7.6
Oracle Exadata provides scalable solutions with efficient resource management, though some users face challenges with cross-generation upgrades.
Within a site, scalability is excellent.
 

Stability Issues

Sentiment score
7.4
Apache Hadoop is stable, especially newer versions, with occasional issues in setup, memory, and online data ingestion.
Sentiment score
7.8
Oracle Exadata is highly stable and reliable, with minimal downtime and high-availability features praised by users.
Once installed, Exadata is very stable.
 

Room For Improvement

Apache Hadoop requires enhanced compatibility, improved usability, real-time processing, better security, modern interfaces, and cost-effective solutions to boost adoption.
Oracle Exadata's high cost, licensing complexity, and technical issues reduce appeal, with users seeking better integration and support.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
 

Setup Cost

Apache Hadoop is cost-effective for large-scale deployments, but smaller enterprises face higher expenses despite potential cloud cost savings.
High costs reflect Oracle Exadata's performance benefits; enterprises value integrated components and negotiate discounts for large-scale deployments.
 

Valuable Features

Apache Hadoop offers cost-efficient, scalable data processing with HDFS, supporting large datasets and seamless integration with tools like Spark.
Oracle Exadata enhances performance and efficiency with features like Smart Scan and Flash Cache, offering high availability and scalability.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
 

Categories and Ranking

Apache Hadoop
Ranking in Data Warehouse
6th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
39
Ranking in other categories
No ranking in other categories
Oracle Exadata
Ranking in Data Warehouse
2nd
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
127
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Data Warehouse category, the mindshare of Apache Hadoop is 5.0%, down from 5.9% compared to the previous year. The mindshare of Oracle Exadata is 18.8%, up from 18.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Q&A Highlights

DD
Jul 04, 2023
 

Featured Reviews

Sushil Arya - PeerSpot reviewer
Provides ease of integration with the IT workflow of a business
When working with Kafka, I saw that the data came in an incremental order. The incremental data processing part is still not very effective in Apache Hadoop. If the data is already there, it can be processed very effectively, especially if the data is coming in every second. If you want to know the location of some data every second, then such data is not processed effectively in Apache Hadoop. I can say that one of the features where improvements are required revolves around the licensing cost of the tool. If the tool can build some licensing structures in a pay-per-use manner, organizations can get the look and feel of Apache Hadoop. Apache Hadoop can offer a licensing structure of the product that can be seen as similar to how AWS operates. Apache Hadoop can look into the capability of processing incremental data. The tool's setup process can be a scope of improvement. Also, it is not very simple because while doing the setup, we need to do all the server settings, including port listing and firewall configurations. If we look at other products on the market, then they can be made simpler. There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required. The time frame for the resolution is an area that needs to be improved. The overall communication part of the technical support team also needs improvement.
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.
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
838,640 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
34%
Computer Software Company
10%
University
7%
Energy/Utilities Company
5%
Financial Services Firm
31%
Computer Software Company
11%
Manufacturing Company
6%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
Hadoop lacks OLAP capabilities. I recommend adding a Delta Lake feature to make the data compatible with ACID properties. Also, video and audio streaming import issues could be improved to ensure p...
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 pricing of Exadata is high. It is more expensive than usual, making it suitable only for big enterprises or businesses that can afford it.
What needs improvement with Oracle Exadata?
Also considered an advantage, the main drawback is the inability to cluster two Exadata systems across sites. For example, with one node on one site and another node on a different site, I cannot c...
 

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: February 2025.
838,640 professionals have used our research since 2012.