Amazon EMR vs IBM Db2 Warehouse on Cloud comparison

Amazon Web Services (AWS) and IBM are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #14 with an average rating of 7.8, while IBM is ranked #16 with an average rating of 8.0. Amazon Web Services (AWS) holds a 3.8% mindshare in CDW, compared to IBM’s 1.7% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 85% of IBM users who would recommend it.

Amazon EMR

Read 25 Amazon EMR reviews

1,929 Views
945 Comparison Views

83% 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

Amazon EMR

IBM Db2 Warehouse on Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

Amazon EMR and IBM Db2 Warehouse on Cloud compete in the cloud-based data processing and warehouse domain. Amazon EMR seems advantageous due to its seamless AWS ecosystem integration.

Features: Amazon EMR is valued for its scalability, integration with Apache Hadoop, and configuration flexibility, making it suitable for big data tasks. IBM Db2 Warehouse on Cloud stands out with built-in machine learning, advanced SQL analytics, and high availability, which cater to comprehensive data warehousing needs.

Room for Improvement: Amazon EMR could enhance user interfaces for less technical users and reduce complexities in cross-region replication. Additionally, better documentation for complex configurations may boost user experience. IBM Db2 Warehouse on Cloud could improve integration with third-party services and offer more flexible pricing models. Simplified migration tools would ease transitions from other platforms.

Ease of Deployment and Customer Service: Amazon EMR offers seamless integration with AWS services, making deployment straightforward for AWS users. IBM Db2 Warehouse on Cloud provides an intuitive deployment process with robust support, suiting businesses that emphasize strong support channels.

Pricing and ROI: Amazon EMR's pricing is often cost-effective for AWS users, optimizing ROI in scalable environments. IBM Db2 Warehouse on Cloud, despite potentially higher initial costs, provides substantial ROI through efficient complex analytics management, appealing to enterprises seeking reliable insights.

To learn more, read our detailed Amazon EMR vs. IBM Db2 Warehouse on Cloud Report (Updated: March 2026).

Buyer's Guide

Amazon EMR 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

Amazon EMR

Ranking in Cloud Data Warehouse

14th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Hadoop (3rd)

IBM Db2 Warehouse on Cloud

Ranking in Cloud Data Warehouse

16th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Cloud Data Warehouse category, the mindshare of Amazon EMR is 3.8%, up from 3.1% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 1.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon EMR	3.8%
IBM Db2 Warehouse on Cloud	1.7%
Other	94.5%

Cloud Data Warehouse

Featured Reviews

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.

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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…

Read full review

Quotes from Members

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

Pros

"The project management is very streamlined."

"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish."

"The solution helps us manage huge volumes of data."

"We are using applications, such as Splunk, Livy, Hadoop, and Spark; we are using all of these applications in Amazon EMR and they're helping us a lot."

"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."

"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."

"This tool is simple to use and it's really accessible to many dev teams."

"Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop."

More Amazon EMR pros

"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."

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

"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."

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

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

More IBM Db2 Warehouse on Cloud pros

Cons

"The cost of Amazon EMR is very high."

"Modules and strategies should be better handled and notified early in advance."

"I feel some lack of functionality in Amazon EMR."

"Whenever we have scaling policies for load balancing and our load increases the input rate, we increase the resources. However, at that time Amazon AWS is not providing the scale of the required resources in a short time."

"The problem for us is it starts very slow."

"There is no need to pay extra for third-party software."

"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."

"The initial setup was time-consuming."

More Amazon EMR cons

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

"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."

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

"The support channels need to improve."

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

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

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

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

More IBM Db2 Warehouse on Cloud cons

Pricing and Cost Advice

"The cost of Amazon EMR is very high."

"There is no need to pay extra for third-party software."

"The product is not cheap, but it is not expensive."

"Amazon EMR is not very expensive."

"Amazon EMR's price is reasonable."

"I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."

"The price of the solution is expensive."

"You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."

More Amazon EMR 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

19%

Healthcare Company

Manufacturing Company

Performing Arts

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

See all answers

What needs improvement with Amazon EMR?

I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

See all answers

What advice do you have for others considering Amazon EMR?

I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.

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

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Compared 8% of the time

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Product Reports

Buyer's Guide

Amazon EMR

March 2026

Download Amazon EMR product report

Buyer's Guide

Cloud Data Warehouse

March 2026

Download IBM Db2 Warehouse on Cloud product report

Also Known As

Amazon Elastic MapReduce

IBM dashDB

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

Amazon Web Services (AWS)

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

Yelp

Copenhagen Business School, BPM Northwest, GameStop

Buyer's Guide

Amazon EMR vs. IBM Db2 Warehouse on Cloud

March 2026

Free Report: Amazon EMR vs. IBM Db2 Warehouse on Cloud

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