Apache Hadoop vs IBM Db2 Warehouse on Cloud comparison

Apache and IBM are both solutions in the Data Warehouse category. Additionally, 89% of Apache users are willing to recommend the solution, compared to 85% 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 on Cloud

Read 7 IBM Db2 Warehouse on Cloud reviews

646 Views
304 Comparison Views

85% willing to recommend

Apache Hadoop

IBM Db2 Warehouse on Cloud

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Executive Summary

We performed a comparison between Apache Hadoop and IBM Db2 Warehouse on Cloud based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

Apache Hadoop vs. IBM Db2 Warehouse on Cloud

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

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (6th)

IBM Db2 Warehouse on Cloud

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (15th)

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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FarhanFarhan

Database Engineer at Meezan Bank

Enhancing analytics with seamless data dumping and reliable support

Our primary use case is data storage and analytics The organization has decided to purchase a full stack solution from IBM due to positive responses, which helped them upgrade from the previous version. The data dumping into the raw zone and the feature of BigQuery is quite attractive. There…

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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

"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."

"The scalability of Apache Hadoop is very good."

"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."

"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."

"Apache Hadoop helps us in cases of hardware failure because it works 24/7, and sometimes servers crash in the field."

"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."

"Hadoop File System is compatible with almost all the query engines."

"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."

More Apache Hadoop pros

"The performance is okay as long as the volume of queries is not too high."

"It will be MPP, so performance should improve."

"It is stable when there is support from IBM."

"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger."

Cons

"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."

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

"The stability of the solution needs improvement."

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

"Since it is an open-source product, there won't be much support."

"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."

"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."

"Real-time data processing is weak. This solution is very difficult to run and implement."

More Apache Hadoop cons

"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."

"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."

"Right now, we are implementing on ESX VMware 6.0. Support for this platform is poor. Also, one of the backup/recovery options is broken and IBM is not addressing the issue."

"Tech support for dashDB is awful. We usually have tickets open for three to four weeks."

"Containers get corrupted very easily. Restoring them using GPFS can result in a lot of issues."

Pricing and Cost Advice

"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."

"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."

"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."

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

"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."

"We just use the free version."

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

More Apache Hadoop pricing and cost advice

"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Computer Software Company

Government

University

No data available

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	4
Large Enterprise	3

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...

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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 advice do you have for others considering IBM Db2 Warehouse on Cloud?

Organizations of all sizes, especially those who are in need of powerful and elastic cloud data warehouse solutions that can help administrators maximize the efficiency of their data-based operatio...

See all answers

What needs improvement with IBM Db2 Warehouse on Cloud?

There are some limitations in adding data files to table spaces, and improvements are needed for regional support.

See all answers

What is your primary use case for IBM Db2 Warehouse on Cloud?

Our primary use case is data storage and analytics.

See all answers

Comparisons

Snowflake vs Apache Hadoop

Compared 14% of the time

Databricks vs Apache Hadoop

Compared 8% of the time

Teradata vs Apache Hadoop

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Apache Hadoop

Compared 7% of the time

Oracle Exadata vs Apache Hadoop

Compared 7% of the time

More Apache Hadoop Competitors

Amazon Redshift vs IBM Db2 Warehouse on Cloud

Compared 22% of the time

Databricks vs IBM Db2 Warehouse on Cloud

Compared 11% of the time

Azure Data Factory vs IBM Db2 Warehouse on Cloud

Compared 10% of the time

VMware Tanzu Data Solutions vs IBM Db2 Warehouse on Cloud

Compared 10% of the time

More IBM Db2 Warehouse on Cloud Competitors

Product Reports

Buyer's Guide

Apache Hadoop

February 2026

Download Apache Hadoop product report

Buyer's Guide

Cloud Data Warehouse

January 2026

Download IBM Db2 Warehouse on Cloud product report

Also Known As

No data available

IBM dashDB

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

IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

IBM

Sample Customers

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

Copenhagen Business School, BPM Northwest, GameStop

Buyer's Guide

Apache Hadoop vs. IBM Db2 Warehouse on Cloud

January 2026

Free Report: Apache Hadoop vs. IBM Db2 Warehouse on Cloud

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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.