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Apache Hadoop vs Oracle Exadata comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Hadoop
Ranking in Data Warehouse
6th
Average Rating
7.8
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
7.3
Number of Reviews
126
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Warehouse category, the mindshare of Apache Hadoop is 5.1%, down from 6.2% compared to the previous year. The mindshare of Oracle Exadata is 19.0%, up from 18.4% 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.
Guruprasad Gonjare - PeerSpot reviewer
Offers a variety of valuable features
The deployment depends on the Exadata options. There are primarily three options which include, Exadata, Exadata Cloud@Customer, and Exadata Cloud Service. Out of these, Cloud Service requires the minimum effort. The deployment takes around two to three weeks to complete. For the deployment purpose, we need information on the user base where the access is going to happen. We would also require around four to five engineers and admins for the solution’s deployment and maintenance. This estimation is based on the workflow.

Quotes from Members

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

Pros

"It's open-source, so it's very cost-effective."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"One valuable feature is that we can download data."
"It's good for storing historical data and handling analytics on a huge amount of data."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"What I found most valuable in Oracle Exadata is its newer technology that gives better performance. It has more recent hardware and significant changes in the architecture, so it's better than older solutions."
"What I like best about Oracle Exadata is its good performance. It's also a very fast solution."
"We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA."
"A very stable solution, which we have hardly any problems with."
"Complete management occurs from one single address instead of different servers."
"The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture."
"The product is flexible."
"The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network."
 

Cons

"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"It would be good to have more advanced analytics tools."
"The solution is very expensive."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"It could be more user-friendly."
"Improvements in security measures would be beneficial, given the large volumes of data handled."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"The solution takes a lot of time to clone the environment. I would like to see some improvement in the cloning support or the time it takes on the storage side."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"The solution's pricing is very high."
"The customization can sometimes be difficult to achieve."
"There's room for improvement in terms of deployment, as it could be made faster and more user-friendly."
"The analytics features must be improved."
 

Pricing and Cost Advice

"This is a low cost and powerful solution."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"The price of Apache Hadoop could be less expensive."
"The product is open-source, but some associated licensing fees depend on the subscription level."
"We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
"Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"For any big enterprise the costs can be handled, and it is suitable for big enterprises because the scale of data is large. For medium and small enterprises, the tool is on the high-price side."
"The price of Oracle Exadata is competitive. There are some features that are outside of the initial purchase license, such as some monitoring packages."
"Oracle Exadata is not a cheap solution. Pricing is a problem for Oracle, and every client, not just my company, would like the vendor to improve on the price, or lower the price. My company paid for several years' worth of Oracle Exadata licenses. You need to pay for the technical support and other features separately, on different contracts. In terms of affordability, my rating for Oracle Exadata is two out of five."
"The price of the solution could improve, it is expensive."
"The price is very high."
"The price of Oracle Exadata is expensive. It is not competitive with other solutions some of the times."
"I think it's free."
"The price of the solution has been expensive to implement."
"Oracle Exadata is costly. Its licensing should also be more versatile. Smaller companies would benefit if Oracle Exadata had lower pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
11%
University
7%
Energy/Utilities Company
6%
Financial Services Firm
30%
Computer Software Company
13%
Manufacturing Company
6%
Government
5%
 

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?
I would like to add some features to run applications or microservices-based applications on Exadata.
 

Learn More

 

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: November 2024.
816,406 professionals have used our research since 2012.