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Amazon EMR vs IBM Db2 Warehouse on Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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
12th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
23
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
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Cloud Data Warehouse category, the mindshare of Amazon EMR is 3.4%, down from 3.5% compared to the previous year. The mindshare of IBM Db2 Warehouse on Cloud is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Prashant  Singh - PeerSpot reviewer
Seamless data integration enhances reporting efficiency and an easy setup
Amazon EMR has multiple connectors that can connect to various data sources. The service charges are based on processing only, depending on the resources used, which can help save money. It is easy to integrate with other services for storage, allowing data to be shifted to cheaper storage based on usage.
FM
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…

Quotes from Members

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

Pros

"The security of the managed workflow and the managed services are the best features for us. Since we inherited their security model and it's all managed services, those are the key benefits for our clients."
"The initial setup is straightforward."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The solution is pretty simple to set up."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The solution helps us manage huge volumes of data."
"The initial setup is pretty straightforward."
"Amazon EMR is a good solution that can be used to manage big data."
"The way that it scales will help a lot of customers that are stuck with Netezza boxes that can't grow any larger.​"
"It will be MPP, so performance should improve."
"The performance is okay as long as the volume of queries is not too high."
"It is stable when there is support from IBM."
 

Cons

"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"The product's features for storing data in static clusters could be better."
"There is no need to pay extra for third-party software."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"The legacy versions of the solution are not supported in the new versions."
"There is room for improvement in pricing."
"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."
"There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB."
"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."
"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."
"There are some limitations in adding data files to table spaces, and improvements are needed for regional support."
 

Pricing and Cost Advice

"Amazon EMR is not very expensive."
"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 cost of Amazon EMR is very high."
"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."
"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
"Amazon EMR's price is reasonable."
"The price of the solution is expensive."
"The product is not cheap, but it is not expensive."
"If your going to go with warehouse DB/dashDB, use the cloud or Sailfish version."
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859,129 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
13%
Educational Organization
10%
Manufacturing Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Amazon EMR?
Amazon EMR is a good solution that can be used to manage big data.
What is your experience regarding pricing and costs for Amazon EMR?
Compared to others, Amazon seems efficient and is considered good for Big Data workloads. Costs are involved based on cluster resources, data volumes, EC2 ( /products/amazon-ec2-reviews ) instances...
What needs improvement with Amazon EMR?
There is room for improvement with respect to retries, handling the volume of data on S3 ( /products/amazon-s3-reviews ) buckets, cluster provisioning, scaling, termination, security, and integrati...
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...
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.
What is your primary use case for IBM Db2 Warehouse on Cloud?
Our primary use case is data storage and analytics.
 

Also Known As

Amazon Elastic MapReduce
IBM dashDB
 

Overview

 

Sample Customers

Yelp
Copenhagen Business School, BPM Northwest, GameStop
Find out what your peers are saying about Amazon EMR vs. IBM Db2 Warehouse on Cloud and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.