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Apache Hadoop vs Oracle Autonomous Data Warehouse 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:
 

Categories and Ranking

Apache Hadoop
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
40
Ranking in other categories
Data Warehouse (7th)
Oracle Autonomous Data Ware...
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
19
Ranking in other categories
Cloud Data Warehouse (10th)
 

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.
Miodrag Milojevic - PeerSpot reviewer
A tool for data warehousing that offers scalability, stability, and ease of setup
The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks. The solution is deployed on the cloud. For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time. The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.

Quotes from Members

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

Pros

"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"One valuable feature is that we can download data."
"The most valuable feature is scalability and the possibility to work with major information and open source capability."
"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"The best thing about this solution is that it is very powerful and very cheap."
"The product has self-repair features."
"A very good integration feature that restricts access to unauthorized people."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"It is a stable and scalable solution."
"It is a very stable tool...It is an extremely scalable tool."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The analytics have been very good. We've found them to be quite useful."
 

Cons

"Hadoop's security could be better."
"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."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"It would be good to have more advanced analytics tools."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"It doesn't work well when you have unstructured data or you need online analytics. It is not as nice as Hadoop in these aspects."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
"Ease of connectivity could be improved."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"The solution lacks visibility options."
"One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
 

Pricing and Cost Advice

"If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
"We just use the free version."
"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."
"This is a low cost and powerful solution."
"The product is open-source, but some associated licensing fees depend on the subscription level."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"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 solution is expensive."
"The cost is perfect with Oracle Universal credit."
"ROI is high."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"The price depends on the configuration we choose."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
"You pay as you go, and you don't pay for services that you don't use."
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Top Industries

By visitors reading reviews
Financial Services Firm
33%
Computer Software Company
11%
University
7%
Energy/Utilities Company
6%
Educational Organization
44%
Financial Services Firm
8%
Computer Software Company
8%
Manufacturing Company
4%
 

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?
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 Autonomous Data Warehouse?
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about Apache Hadoop vs. Oracle Autonomous Data Warehouse and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.