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Cloudify vs IBM Spectrum Computing comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 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

Cloudify
Ranking in Cloud Management
26th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
No ranking in other categories
IBM Spectrum Computing
Ranking in Cloud Management
25th
Average Rating
8.2
Reviews Sentiment
5.9
Number of Reviews
9
Ranking in other categories
Hadoop (6th)
 

Mindshare comparison

As of October 2025, in the Cloud Management category, the mindshare of Cloudify is 1.8%, up from 1.7% compared to the previous year. The mindshare of IBM Spectrum Computing is 1.0%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Management Market Share Distribution
ProductMarket Share (%)
IBM Spectrum Computing1.0%
Cloudify1.8%
Other97.2%
Cloud Management
 

Featured Reviews

Mohammed Abuaisha - PeerSpot reviewer
Very powerful with great extendibility; great for huge and complex infrastructures
This is a somewhat complex solution for very complex use cases where there are multiple cloud vendors, multiple infrastructures, and multiple configurations. It solves a lot of issues for complex operations. It's good for the telecom industry. If you have multiple locations with a lot of tools that you want to integrate, and complex teams using different solutions, and you want to unify all these under one umbrella, I think Cloudify is a good product. If you're looking to provision infrastructure on a specific cloud and manage RDS, for example, I think the use case would be less suitable because you'd need to purchase a license for something you're not going to use. I rate this solution nine out of 10 primarily because of its extendibility which is great.
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

"You can use only what you need. You can remove certain Cloudify functions from the framework to create a "minified" version of what you need. This might only consist of the messaging delivery system, and the orchestration functions."
"TOSCA model allows modeling the application rather than the automation. It is a machine-readable representation of the application and its infrastructure, which can be used for other things too, not just for the orchestration (e.g. enterprise architecture big picture, who connects to whom)."
"Has great extendability which means you can build your own custom logic."
"Product has given us the ability to catch early scaling issues that many companies hit on with private clouds."
"Cloudify provides the infrastructure-as-code, as well as operational action capabilities (orchestrated startups or upgrades, and more)."
"Valuable features are auto-scaling and load balancing."
"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."
"The solution includes the option to run background scripts and processes from a connected API."
"This solution is working for both VTL and tape."
"We are satisfied with the technical support, we have no issues."
"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."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The most valuable feature is the backup capability."
"Easy to operate and use."
"The best features of IBM Spectrum Computing are common across many of their storage products."
 

Cons

"The upgrading process could be simplified."
"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."
"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."
"Certainly the UI could use some intensive work, but nevertheless, overall, it’s a complete product with its 3.4 version and much better features are available with 4.0."
"Install of the product itself could be improved and I would like to see better event monitoring."
"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."
"It lacked the user interface for multitenancy and basic platform management tasks. It is a leader in the niche area that they like to perform in, but it only does about 30% of top-tier advanced functions of platform management. It doesn't meet about 70% of what you need to manage a private cloud platform."
"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."
"This solution is no longer managing tapes correctly."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
"We have not been able to use deduplication."
"IBM's sales and support structure can be challenging."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"The deduplication software isn't quite up to speed with the market."
 

Pricing and Cost Advice

"I wasn't involved in the pricing of it because we were just doing prototype work with it, but I was told by the upper management team that it was quite expensive. That was another reason we switched to Morpheus."
"Spectrum Computing is one of the most expensive products on the market."
"This solution is expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Retailer
9%
Educational Organization
7%
Comms Service Provider
6%
No data available
 

Company Size

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

Questions from the Community

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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

No data available
IBM Platform Computing
 

Overview

 

Sample Customers

Proximus Partner Communications (Israel) VMware NTT Data Metaswitch Spirent Communications Lumina Networks Atos Fortinet
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Find out what your peers are saying about Cloudify vs. IBM Spectrum Computing and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.