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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
7.0
Number of Reviews
24
Ranking in other categories
Cloud Data Warehouse (13th)
IBM Spectrum Computing
Ranking in Hadoop
6th
Average Rating
8.2
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Cloud Management (25th)
 

Mindshare comparison

As of October 2025, in the Hadoop category, the mindshare of Amazon EMR is 12.8%, down from 14.3% compared to the previous year. The mindshare of IBM Spectrum Computing is 2.1%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop Market Share Distribution
ProductMarket Share (%)
Amazon EMR12.8%
IBM Spectrum Computing2.1%
Other85.1%
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.
OmarIsmail1 - PeerSpot reviewer
Senior Technical Specialist appreciates intelligent workload management, strong support, and scalability
The best features of IBM Spectrum Computing are common across many of their storage products. The software is solid, meaning that the code is stable. They take business seriously, which is what IBM stands for - International Business Machines. They always maintain a business-oriented approach in their software development. It's not simply clicking through interfaces; in IBM software, they consider their actions, process flows, and workflows around business processes. It requires understanding IBM and their methodology, as the software operates accordingly. I have utilized IBM Spectrum Computing's intelligent workload management feature. We use Insights, which is connected to the cloud. This provides AI capabilities for analyzing the configuration, offering smart recommendations on new code, warning about bugs in current code, and suggesting configuration improvements through its advisor tool. The predictive analytics feature in IBM Spectrum Computing enables optimal software performance through Insights. However, being a storage administrator requires foundational knowledge and understanding beyond these tools. For troubleshooting, it's efficient in spotting bottlenecks, but understanding the terms and metrics is essential as it provides answers that need interpretation.

Quotes from Members

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

Pros

"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."
"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."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The project management is very streamlined."
"I rate Amazon EMR as ten out of ten."
"This is the best tool for hosts and it's really flexible and scalable."
"It has a variety of options and support systems."
"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."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"This solution is working for both VTL and tape."
"The best features of IBM Spectrum Computing are common across many of their storage products."
"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."
 

Cons

"In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available."
"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."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"Spark jobs take longer on Amazon EMR compared to previous experiences."
"Modules and strategies should be better handled and notified early in advance."
"The product must add some of the latest technologies to provide more flexibility to the users."
"There is no need to pay extra for third-party software."
"The problem for us is it starts very slow."
"We have not been able to use deduplication."
"This solution is no longer managing tapes correctly."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"The deduplication software isn't quite up to speed with the market."
"Lack of sufficient documentation, particularly in Spanish."
"The deduplication software isn't quite up to speed with the market. While IBM has excellent compression technology, specifically on their FlashCore modules, they lag behind competitors such as NetApp in deduplication capabilities."
"We'd like to see some AI model training for machine learning."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
 

Pricing and Cost Advice

"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."
"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."
"There is no need to pay extra for third-party software."
"The product is not cheap, but it is not expensive."
"The cost of Amazon EMR is very high."
"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."
"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Educational Organization
12%
Computer Software Company
12%
Manufacturing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
 

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 is your experience regarding pricing and costs for IBM Spectrum Computing?
IBM Spectrum Computing consistently offers competitive pricing. When solutioning new implementations, IBM always presents the best solution and price. In a recent comparison with Pure Storage and N...
What needs improvement with IBM Spectrum Computing?
IBM Spectrum Computing had limitations with remote copy services between head office and disaster recovery sites. In the last year, IBM has improved the code by re-engineering it to policy-based re...
What is your primary use case for IBM Spectrum Computing?
The typical use case for IBM Spectrum Computing is that it's an all-rounder. It can be used in various scenarios, such as the retailer I work for that has batch processing. It's on-demand when perf...
 

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: September 2025.
869,566 professionals have used our research since 2012.