Apache Hadoop vs IBM Db2 Warehouse comparison

Apache and IBM are both solutions in the Data Warehouse category. Apache is ranked #6 with an average rating of 8.2, while IBM is ranked #11 with an average rating of 8.0. Apache holds a 3.6% mindshare in Data Warehouse, compared to IBM’s 3.4% mindshare. Additionally, 89% of Apache users are willing to recommend the solution, compared to 81% of IBM users who would recommend it.

Apache Hadoop

Read 41 Apache Hadoop reviews

2,177 Views
1,306 Comparison Views

89% willing to recommend

IBM Db2 Warehouse

Read 12 IBM Db2 Warehouse reviews

1,588 Views
1,239 Comparison Views

81% willing to recommend

Apache Hadoop

IBM Db2 Warehouse

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

IBM Db2 Warehouse and Apache Hadoop are both key players in the big data and analytics field. IBM Db2 Warehouse stands out for its robust data integration and advanced analytics capabilities, while Apache Hadoop excels in scalability and flexibility, making it ideal for those needing a customizable framework.

Features: IBM Db2 Warehouse offers efficient data warehousing, advanced analytics, and strong SQL support, facilitating seamless cloud integration. Apache Hadoop is recognized for its distributed storage and processing capabilities, handling diverse data formats and offering high scalability for big data applications.

Room for Improvement: IBM Db2 Warehouse could improve on reducing its complexity for non-SQL users, enhancing its cost-effectiveness, and expanding its open-source integrations. Apache Hadoop might benefit from simplifying its setup process, offering better real-time processing capabilities, and improving native security measures.

Ease of Deployment and Customer Service: IBM Db2 Warehouse offers a straightforward deployment experience with managed services and robust support, suitable for businesses seeking reliability. Apache Hadoop requires a more complex setup, leveraging open-source benefits with extensive community support, but demands a solid understanding for effective deployment.

Pricing and ROI: IBM Db2 Warehouse involves higher initial costs but provides significant returns through performance and analytics capabilities, justifying investment for enterprises prioritizing speed and integrated features. Apache Hadoop presents a cost-effective solution with lower upfront costs, appealing for budget-constrained firms, though infrastructure investments are necessary for optimal performance.

To learn more, read our detailed Apache Hadoop vs. IBM Db2 Warehouse Report (Updated: January 2026).

Buyer's Guide

Apache Hadoop vs. IBM Db2 Warehouse

January 2026

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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

Ranking in Data Warehouse

6th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Db2 Warehouse

Ranking in Data Warehouse

11th

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.6%, down from 4.3% compared to the previous year. The mindshare of IBM Db2 Warehouse is 3.4%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Apache Hadoop	3.6%
IBM Db2 Warehouse	3.4%
Other	93.0%

Data Warehouse

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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Sherpard Muzuva

Senior Technical Manager- IBM Enterprise Systems at SYSTEMS INTEGRATED LTD (SYMPHONY)

Advanced features enhance business intelligence, but complex management calls for improved user guidance

While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more user-friendly and easier to master. They should implement a more comprehensive graphical user interface with additional features. For instance, when users encounter problems, the system should provide better guidelines and troubleshooting directions, except for hardware-related issues. They need to implement tools that would help users perform basic troubleshooting rather than solely relying on support. Other databases have features where users can investigate specific issues using error codes. From my experience, many minor issues could be resolved before escalating to support.

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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

"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."

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

"Hadoop is extensible — it's elastic."

"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."

"The most valuable features are powerful tools for ingestion, as data is in multiple systems."

"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."

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

"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."

More Apache Hadoop pros

"The analytics engine is not bad at forecasting predictions."

"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"The solution is stable."

"Provides good security and reliability."

"It can scale effectively as long as resources are available."

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

More IBM Db2 Warehouse pros

Cons

"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."

"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."

"I would like to see more direct integration of visualization applications."

"I think more of the solution needs to be focused around the panel processing and retrieval of data."

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

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

"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."

"The solution is very expensive."

More Apache Hadoop cons

"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

"It takes a long time to have a new version or release, similar to Oracle."

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"There should be more material available for training and training should be free."

More IBM Db2 Warehouse cons

Pricing and Cost Advice

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

"It's reasonable, but there's room for improvement in cost-effectiveness."

"The price of Apache Hadoop could be less expensive."

"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."

"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."

"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."

More Apache Hadoop pricing and cost advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

Government

University

Financial Services Firm

28%

Manufacturing Company

Government

University

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	5
Midsize Enterprise	3
Large Enterprise	5

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.

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for IBM Db2 Warehouse?

The pricing for medium and large environments is almost the same as Oracle. I rate the pricing as six out of ten.

See all answers

What needs improvement with IBM Db2 Warehouse?

See all answers

What is your primary use case for IBM Db2 Warehouse?

The main advantages of IBM Db2 Warehouse become apparent when dealing with business intelligence applications. I worked with it when it was installed for one of our customers, a utilities company, ...

See all answers

Comparisons

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Compared 14% of the time

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Compared 8% of the time

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Compared 8% of the time

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Compared 7% of the time

Amazon Redshift vs Apache Hadoop

Compared 3% of the time

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Snowflake vs IBM Db2 Warehouse

Compared 14% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 13% of the time

BigQuery vs IBM Db2 Warehouse

Compared 13% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 8% of the time

IBM Db2 Warehouse on Cloud vs IBM Db2 Warehouse

Compared 5% of the time

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Product Reports

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Apache Hadoop

January 2026

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Buyer's Guide

IBM Db2 Warehouse

January 2026

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Also Known As

No data available

InfoSphere Warehouse, IBM InfoSphere Warehouse

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

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

IBM

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab

Alameda County Social Services Agency, Sui Southern Gas Company Limited

Buyer's Guide

Apache Hadoop vs. IBM Db2 Warehouse

January 2026

Free Report: Apache Hadoop vs. IBM Db2 Warehouse

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