Try our new research platform with insights from 80,000+ expert users

Amazon EMR vs IBM Spectrum Computing comparison

 

Comparison Buyer's Guide

Executive Summary

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 Hadoop
3rd
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
23
Ranking in other categories
Cloud Data Warehouse (12th)
IBM Spectrum Computing
Ranking in Hadoop
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
8
Ranking in other categories
Cloud Management (27th)
 

Mindshare comparison

As of June 2025, in the Hadoop category, the mindshare of Amazon EMR is 13.8%, down from 16.6% compared to the previous year. The mindshare of IBM Spectrum Computing is 1.7%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

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.
Avra Jyoti Ghosh - PeerSpot reviewer
One of the best tools in the data management and services area
I mainly used Spectrum Computing for data management, governance, quality, and ETL activity Spectrum Computing's best features are its speed, robustness, and data processing and analysis.  Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the…

Quotes from Members

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

Pros

"The solution is scalable."
"It has a variety of options and support systems."
"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."
"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."
"Amazon EMR is a good solution that can be used to manage big data."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The initial setup is straightforward."
"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."
"This solution is working for both VTL and tape."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"Easy to operate and use."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
 

Cons

"The problem for us is it starts very slow."
"The product's features for storing data in static clusters could be better."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The legacy versions of the solution are not supported in the new versions."
"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."
"The product must add some of the latest technologies to provide more flexibility to the users."
"IBM's sales and support structure can be challenging."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"This solution is no longer managing tapes correctly."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"We'd like to see some AI model training for machine learning."
"Lack of sufficient documentation, particularly in Spanish."
"We have not been able to use deduplication."
 

Pricing and Cost Advice

"There is no need to pay extra for third-party software."
"The price of the solution is expensive."
"Amazon EMR's price is reasonable."
"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
"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."
"Amazon EMR is not very expensive."
"The product is not cheap, but it is not expensive."
"The cost of Amazon EMR is very high."
"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
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%
Financial Services Firm
38%
Manufacturing Company
9%
Computer Software Company
9%
Real Estate/Law Firm
7%
 

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 needs improvement with IBM Spectrum Computing?
IBM's sales and support structure can be challenging. To work on an IBM deal, you often need to involve multiple specialists, each knowledgeable about only part of the product, rather than having a...
What is your primary use case for IBM Spectrum Computing?
It is big on resilience and security. Their focus is on providing robust and secure solutions. Due to their high-end server models, IBM products are often more expensive than competitors. While IBM...
 

Also Known As

Amazon Elastic MapReduce
IBM Platform Computing
 

Overview

 

Sample Customers

Yelp
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Find out what your peers are saying about Amazon EMR vs. IBM Spectrum Computing and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.