IBM Spectrum Computing vs Snyk comparison

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IBM Spectrum Computing

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Executive SummaryUpdated on Oct 9, 2025

IBM Spectrum Computing and Snyk compete in enterprise computing and cybersecurity. While IBM Spectrum Computing holds an edge in pricing and support, Snyk excels with its comprehensive feature set.

Features: IBM Spectrum Computing provides strong resource management, robust scalability, and efficient workload management for high-performance computing needs. Snyk focuses on developer-centric security with open-source vulnerability scanning, easy integration, and extensive Slack notifications for real-time alerts.

Room for Improvement: IBM Spectrum Computing requires simplification of its complex resource clustering and OpenStack handling. Users find its initial setup costs high and interface less intuitive. Snyk could expand its vulnerability database and enhance on-premise installation affordability. Users also note limited licensing checks and desire broader customer support.

Ease of Deployment and Customer Service: IBM Spectrum Computing offers sophisticated models for complex enterprise environments, providing extensive support services. Snyk's faster cloud-native deployment caters to agile environments, emphasizing seamless integration with CI/CD pipelines and proactive customer service.

Pricing and ROI: IBM Spectrum Computing is known for higher initial costs but offers notable ROI in large enterprises needing substantial computational resources. Snyk presents a flexible pricing model, appealing to SMEs with its efficient risk mitigation contributing to quicker ROI. IBM justifies higher costs with performance benefits, while Snyk offers value in development security enhancements.

To learn more, read our detailed IBM Spectrum Computing vs. Snyk Report (Updated: September 2025).

IBM Spectrum Computing vs. Snyk

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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

IBM Spectrum Computing

Ranking in Cloud Management

25th

Average Rating

8.2

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Hadoop (6th)

Snyk

Ranking in Cloud Management

14th

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (18th), Application Security Tools (6th), Static Application Security Testing (SAST) (8th), GRC (5th), Vulnerability Management (14th), Container Security (6th), Software Composition Analysis (SCA) (1st), Software Development Analytics (2nd), Cloud Security Posture Management (CSPM) (15th), DevSecOps (2nd), Application Security Posture Management (ASPM) (2nd)

Mindshare comparison

As of October 2025, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 1.0%, up from 0.6% compared to the previous year. The mindshare of Snyk is 1.3%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management Market Share Distribution
Product	Market Share (%)
Snyk	1.3%
IBM Spectrum Computing	1.0%
Other	97.7%

Cloud Management

Featured Reviews

OmarIsmail1

Infrastructure Technical Specialist II at Clicks Group

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.

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meetharoon

CEO at a computer software company with 10,001+ employees

Affordable tool boosts code scanning efficiency but faces integration hurdles

I lead a code security practice for our organization. We integrated Snyk into our GitHub, using CLI to automatically scan codebases and identify issues. We are a large organization with three independent entities, consolidating Snyk across all entities. We also provide access through numerous…

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Quotes from Members

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

Pros

"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."

"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."

"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."

"We are satisfied with the technical support, we have no issues."

"The best features of IBM Spectrum Computing are common across many of their storage products."

"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"

More IBM Spectrum Computing pros

"I find SCA to be valuable. It can read your libraries, your license and bring the best way to resolve your problem in the best scenario."

"Snyk performs software composition analysis (SCA) similar to other expensive tools."

"We use Snyk to check vulnerabilities and rectify potential leaks in GitHub."

"The most valuable features of Snyk are vulnerability scanning and automation. The automation the solution brings around vulnerability scanning is useful."

"What is valuable about Snyk is its simplicity."

"They evolved their maturity because they could find the vulnerabilities before the pipeline runs."

"I think all the standard features are quite useful when it comes to software component scanning, but I also like the new features they're coming out with, such as container scanning, secrets scanning, and static analysis with SAST."

"The dependency checks of the libraries are very valuable, but the licensing part is also very important because, with open source components, licensing can be all over the place. Our project is not an open source project, but we do use quite a lot of open source components and we want to make sure that we don't have surprises in there."

More Snyk pros

Cons

"The deduplication software isn't quite up to speed with the market."

"We have not been able to use deduplication."

"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."

"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."

"Lack of sufficient documentation, particularly in Spanish."

"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."

"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."

More IBM Spectrum Computing cons

"There is always more work to do around managing the volume of information when you've got thousands of vulnerabilities. Trying to get those down to zero is virtually impossible, either through ignoring them all or through fixing them. That filtering or information management is always going to be something that can be improved."

"We use Bamboo for CI.CD, and we had problems integrating Snyk with it. Ultimately, we got the two solutions to work together, but it was difficult."

"The solution's reporting and storage could be improved."

"We tried to integrate it into our software development environment but it went really badly. It took a lot of time and prevented the developers from using the IDE. Eventually, we didn't use it in the development area... I would like to see better integrations to help the developers get along better with the tool. And the plugin for the IDE is not so good. This is something we would like to have..."

"It would be ideal if there was customization with a focus on specific cybersecurity areas or capabilities."

"The tool's initial use is complex."

"Basically the licensing costs are a little bit expensive."

"The reporting mechanism of Snyk could improve. The reporting mechanism is available only on the higher level of license. Adjusting the policy of the current setup of recording this report is something that can improve. For instance, if you have a certain license, you receive a rating, and the rating of this license remains the same for any use case. No matter if you are using it internally or using it externally, you cannot make the adjustment to your use case. It will always alert as a risky license. The areas of licenses in the reporting and adjustments can be improve"

More Snyk cons

Pricing and Cost Advice

"This solution is expensive."

"Spectrum Computing is one of the most expensive products on the market."

"It's good value. That's the primary thing. It's not cheap-cheap, but it's good value."

"We do have some missing licenses issues, especially with non-SPDX compliant one, but we expect this to be fixed soon"

"I didn't think the price was that great, but it wasn't that bad, either. I'd rate their pricing as average in the market."

"On a scale of one to ten, where one is cheap and ten is expensive, I rate the pricing a three. It is a cheap solution."

"It's inexpensive and easy to license. It comes in standard package sizing, which is straightforward. This information is publicly found on their website."

"The product's price is okay."

"It is pretty expensive. It is not a cheap product."

"The pricing is acceptable, especially for enterprises. I don't think it's too much of a concern for our customers. Something like $99 per user is reasonable when the stakes are high."

More Snyk pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	9
Large Enterprise	21

Questions from the Community

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...

How does Snyk compare with SonarQube?

Snyk does a great job identifying and reducing vulnerabilities. This solution is fully automated and monitors 24/7 to find any issues reported on the internet. It will store dependencies that you a...

What do you like most about Snyk?

The most effective feature in securing project dependencies stems from its ability to highlight security vulnerabilities.

What needs improvement with Snyk?

There are a lot of false positives that need to be identified and separated. The inclusion of AI to remove false positives would be beneficial. So far, I've not seen any AI features to enhance vuln...

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Product Reports

Hadoop

Download IBM Spectrum Computing product report

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Also Known As

IBM Platform Computing

Fugue, Snyk AppRisk

Overview

IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

IBM

Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.

Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.

What are Snyk's standout features?

Simplicity and Integration: Easy to integrate across platforms like GitLab, GitHub, and Jira.
Comprehensive Vulnerability Database: Offers accurate reporting for effective vulnerability management.
Developer-Friendly Design: Supports multiple programming languages, appealing to developers.
Automation and Flexibility: Enhances workflow efficiency with automated capabilities.

What benefits can users expect?

Efficiency in Vulnerability Detection: Streamlines prioritization and remediation processes.
Cost-Effectiveness: Offers a competitive pricing model compared to alternatives.
Enhanced Workflow: Integration with DevOps tools improves development processes.

Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic

StartApp, Segment, Skyscanner, DigitalOcean, Comic Relief

IBM Spectrum Computing vs. Snyk