Apache Hadoop vs Oracle Autonomous Data Warehouse comparison

Apache Hadoop vs. Oracle Autonomous Data Warehouse

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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

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (7th)

Oracle Autonomous Data Ware...

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Featured Reviews

Nick Rapoport

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.

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Kwajah Mohiuddin

Global Head of Architecture at a financial services firm with 1,001-5,000 employees

Provides self-repair features, but the setup is complex

We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…

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Quotes from Members

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

Pros

"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."

"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."

"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."

"We selected Apache Hadoop because it is not dependent on third-party vendors."

"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."

"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."

"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."

More Apache Hadoop pros

"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."

"It is a very stable tool...It is an extremely scalable tool."

"One advantage is that if you already have an Oracle Database, it easily integrates with that."

"The solution integrates well with Power BI."

"The analytics have been very good. We've found them to be quite useful."

"I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW."

"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."

"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 reason we use it."

More Oracle Autonomous Data Warehouse pros

Cons

"In certain cases, the configurations for dealing with data skewness do not make any sense."

"There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required."

"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."

"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."

"It would be good to have more advanced analytics tools."

"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."

"Hadoop's security could be better."

"The solution is very expensive."

More Apache Hadoop cons

"The solution lacks visibility options."

"The installation process is complex. Oracle can make the installation process better."

"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."

"The setup is complex."

"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."

"Optimization should be better."

"They should make the solution more user-friendly."

"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."

More Oracle Autonomous Data Warehouse cons

Pricing and Cost Advice

"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."

"There are no licensing costs involved, hence money is saved on the software infrastructure."

"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."

"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."

"The product is open-source, but some associated licensing fees depend on the subscription level."

More Apache Hadoop pricing and cost advice

"You pay as you go, and you don't pay for services that you don't use."

"The solution is expensive."

"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."

"We pay approximately $70,000 per month. The cost includes maintenance and support."

"The cost is perfect with Oracle Universal credit."

"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."

"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."

More Oracle Autonomous Data Warehouse pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

31%

Computer Software Company

Government

University

Manufacturing Company

10%

Media Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	8
Large Enterprise	21

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	11

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 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.

What is your primary use case for Oracle Autonomous Data Warehouse?

We are using Oracle Autonomous Data Warehouse for analytics in my company.

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Compared 16% of the time

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Compared 13% of the time

Microsoft Azure Synapse Analytics vs Oracle Autonomous Data Warehouse

Compared 9% of the time

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Compared 2% of the time

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Product Reports

Apache Hadoop

Download Apache Hadoop product report

Oracle Autonomous Data Warehouse

Download Oracle Autonomous Data Warehouse product report

Overview

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Apache

Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.

Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

Oracle

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

Apache Hadoop vs. Oracle Autonomous Data Warehouse