Apache Hadoop vs IBM Db2 Warehouse comparison

Apache and IBM are both solutions in the Data Warehouse category. Apache is ranked #7 with an average rating of 8.1, while IBM is ranked #11 with an average rating of 8.0. Apache holds a 3.5% mindshare in Data Warehouse, compared to IBM’s 3.2% 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

1,973 Views
1,144 Comparison Views

89% willing to recommend

IBM Db2 Warehouse

Read 12 IBM Db2 Warehouse reviews

1,463 Views
1,141 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

7th

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 January 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.5%, down from 4.3% compared to the previous year. The mindshare of IBM Db2 Warehouse is 3.2%, 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	3.5%
IBM Db2 Warehouse	3.2%
Other	93.3%

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

"Data ingestion: It has rapid speed, if Apache Accumulo is used."

"Hadoop is extensible — it's elastic."

"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."

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

"One valuable feature is that we can download data."

"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."

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

"The best thing about this solution is that it is very powerful and very cheap."

More Apache Hadoop pros

"The solution is stable."

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

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

"Provides good security and reliability."

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

"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."

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

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

More IBM Db2 Warehouse pros

Cons

"It needs better user interface (UI) functionalities."

"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it."

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

"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."

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

"Hadoop lacks OLAP capabilities."

"The product's availability of comprehensive training materials could be improved for faster onboarding and skill development among team members."

More Apache Hadoop cons

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"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."

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

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

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

"IBM Db2 Warehouse needs to improve its interface."

"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."

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

More IBM Db2 Warehouse cons

Pricing and Cost Advice

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

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

"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."

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

"We just use the free version."

"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."

"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

34%

Computer Software Company

University

Manufacturing Company

Financial Services Firm

30%

Manufacturing Company

10%

Government

Educational Organization

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?

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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

Snowflake vs Apache Hadoop

Compared 13% of the time

Databricks vs Apache Hadoop

Compared 9% of the time

Teradata vs Apache Hadoop

Compared 9% of the time

Oracle Exadata vs Apache Hadoop

Compared 8% 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

BigQuery vs IBM Db2 Warehouse

Compared 14% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 14% of the time

Teradata vs IBM Db2 Warehouse

Compared 9% of the time

Databricks vs IBM Db2 Warehouse

Compared 5% of the time

More IBM Db2 Warehouse Competitors

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

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