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
 

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
126
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Data Warehouse category, the mindshare of Apache Hadoop is 5.2%, down from 6.2% compared to the previous year. The mindshare of Oracle Exadata is 19.3%, 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.
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 is a reliable product."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"It's good for storing historical data and handling analytics on a huge amount of data."
"​​Data ingestion: It has rapid speed, if Apache Accumulo is used."
"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."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"It offers a significant advantage for accommodating a large number of users."
"Before using this machine, we took no less than two days to run a report. Now, we can do it within five hours. So, there is a lot of improvement."
"The product is flexible."
"The business intelligence is very good."
"The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network."
"Complete management occurs from one single address instead of different servers."
"Compression is a great feature, where one can really save a lot of storage."
"The new Exadata x9m has an even higher speed of 100GBps connectivity."
 

Cons

"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"Hadoop's security could be better."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"It needs better user interface (UI) functionalities."
"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."
"Since it is an open-source product, there won't be much support."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services."
"Oracle Exadata has room for improvement in pricing, especially for smaller companies. The solution is okay for bigger companies, but for smaller companies, it isn't."
"The improvement could be made on the hardware level as the habit in the industry is to go better and faster and larger with every iteration."
"It would be nice to have a single click button to, say, migrate my VMware VM into the Oracle VM, or vice-versa."
"The management monitoring tools are quite important and an area that needs some improvement."
"The initial setup process is very difficult and extremely complex."
"Exadata would be improved with single dashboard visibility."
"Sometimes it takes too long time to get help with technical issues."
 

Pricing and Cost Advice

"It's reasonable, but there's room for improvement in cost-effectiveness."
"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."
"This is a low cost and powerful solution."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"We just use the free version."
"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 product is open-source, but some associated licensing fees depend on the subscription level."
"All things considered, the price of this product is fairly high, as is always the case with Oracle."
"The price of the solution could improve, it is expensive."
"I think it's free."
"It is an expensive product and you pay more for certain performance enhancements."
"Oracle is always costly but it's fine."
"I did note that Oracle does tend to internally oversize things especially if they want to fill up a budget, and hence third-party oversight is essential."
"I give the pricing of the solution a five out of ten."
"There is an annual license to use this solution. The solution is expensive."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
824,053 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
6%
Financial Services Firm
29%
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.
824,053 professionals have used our research since 2012.