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

2,310 Views
1,409 Comparison Views

89% willing to recommend

IBM Db2 Warehouse on Cloud

Read 7 IBM Db2 Warehouse on Cloud reviews

736 Views
331 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: March 2026).

Buyer's Guide

Apache Hadoop vs. IBM Db2 Warehouse on Cloud

March 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 (7th)

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

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

"The tool's stability is 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."

"This intermediate step not only mashes data in the form that we want through data Cube slicing, but also helps us save states as snapshots for multiple time frames."

"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."

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

"Using this solution has allowed us to consolidate the data."

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

More Apache Hadoop pros

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

"One of the most amazing features of dashDB is how it uses compression to get results in lighting speed."

"Ease of migration from Netezza DB; IBM ported over all Netezza's functionality and made the warehouse DB/dashDB the best of breed of the two."

"I like that the dashDB solution is built on DB2 technology, which means that you can use all the features of a DB2 database while outsourcing all the hardware and software maintenance."

"DashDB is a good product to work with and the extra cost you spend on performance, technical support and tools to work with is worth it."

"Since my company is an IBM partner, it has enabled us to offer cloud data warehouse solutions on a 100% IBM stack."

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

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

More IBM Db2 Warehouse on Cloud pros

Cons

"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."

"In general, stability can be a challenge."

"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."

"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."

"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."

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

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

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

More Apache Hadoop cons

"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."

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

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

"Db2 is not a solution that I recommend. We have a lot of experience and we are not satisfied with the product or the support that we received."

"The support channels need to improve."

"With dashDB, scalability and uptime need more improvement."

More IBM Db2 Warehouse on Cloud cons

Pricing and Cost Advice

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

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

"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 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."

"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."

"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."

"We just use the free version."

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

31%

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...

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 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

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Compared 13% of the time

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Compared 6% of the time

Teradata vs Apache Hadoop

Compared 6% of the time

Databricks vs Apache Hadoop

Compared 6% of the time

Oracle Exadata vs Apache Hadoop

Compared 5% of the time

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Amazon Redshift vs IBM Db2 Warehouse on Cloud

Compared 19% of the time

Snowflake vs IBM Db2 Warehouse on Cloud

Compared 10% of the time

VMware Tanzu Data Solutions vs IBM Db2 Warehouse on Cloud

Compared 9% of the time

Databricks vs IBM Db2 Warehouse on Cloud

Compared 9% of the time

OpenText Analytics Database (Vertica) vs IBM Db2 Warehouse on Cloud

Compared 5% of the time

More IBM Db2 Warehouse on Cloud Competitors

Product Reports

Buyer's Guide

Apache Hadoop

March 2026

Download Apache Hadoop product report

Buyer's Guide

Cloud Data Warehouse

February 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

March 2026

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

Find out what your peers are saying about Apache Hadoop vs. IBM Db2 Warehouse on Cloud and other solutions. Updated: March 2026.

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