IBM Spectrum Computing vs IBM Turbonomic comparison

IBM Spectrum Computing and IBM Turbonomic are both solutions in the Cloud Management category. IBM Spectrum Computing is ranked #24 with an average rating of 9.0, while IBM Turbonomic is ranked #4 with an average rating of 8.4. IBM Spectrum Computing holds a 0.7% mindshare in CM, compared to IBM Turbonomic’s 6.3% mindshare. Additionally, 57% of IBM Spectrum Computing users are willing to recommend the solution, compared to 98% of IBM Turbonomic users who would recommend it.

IBM Spectrum Computing

Read 8 IBM Spectrum Computing reviews

303 Views
179 Comparison Views

57% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

4,265 Views
2,006 Comparison Views

98% willing to recommend

IBM Spectrum Computing

IBM Turbonomic

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Executive SummaryUpdated on Dec 17, 2024

IBM Spectrum Computing and IBM Turbonomic are two innovative solutions that compete in IT infrastructure optimization. While IBM Spectrum Computing gains favor for its pricing and strong customer support, IBM Turbonomic is often preferred for its superior AI-driven optimization capabilities.

Features: IBM Spectrum Computing enhances resource management with workload management, scalability, and strong data processing capabilities. IBM Turbonomic provides real-time optimization, automation for VM management, and comprehensive resource planning based on AI-driven insights.

Room for Improvement: IBM Spectrum Computing could enhance its deployment ease, integrate better with third-party solutions, and simplify its complexity for wider accessibility. IBM Turbonomic might benefit from streamlining user interface elements, expanding integration capabilities, and reducing its initial steep learning curve.

Ease of Deployment and Customer Service: IBM Spectrum Computing, though complex in deployment, is well-supported by strong customer service that mitigates the challenge. IBM Turbonomic offers a simpler deployment process through automated features, matched by responsive customer service.

Pricing and ROI: IBM Spectrum Computing is usually more cost-effective upfront, providing steady ROI especially for high-performance computing environments. IBM Turbonomic may entail higher initial costs but offers a compelling ROI due to its comprehensive optimization, leading to significant operational savings.

To learn more, read our detailed IBM Spectrum Computing vs. IBM Turbonomic Report (Updated: December 2024).

Buyer's Guide

IBM Spectrum Computing vs. IBM Turbonomic

December 2024

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Categories and Ranking

IBM Spectrum Computing

Ranking in Cloud Management

24th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Hadoop (7th)

IBM Turbonomic

Ranking in Cloud Management

4th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

205

Ranking in other categories

Cloud Migration (5th), Virtualization Management Tools (3rd), IT Financial Management (1st), IT Operations Analytics (5th), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (5th)

Mindshare comparison

As of December 2024, in the Cloud Management category, the mindshare of IBM Spectrum Computing is 0.7%, up from 0.5% compared to the previous year. The mindshare of IBM Turbonomic is 6.3%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management

Featured Reviews

Avra Jyoti Ghosh

Data QualityTechnical Architect at Mindtree

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…

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SubashSubbiah

Assistant Consultant at a tech services company with 10,001+ employees

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer. I would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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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

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

"This solution is working for both VTL and tape."

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

"The most valuable feature is the backup capability."

"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."

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

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

"Easy to operate and use."

"We have VM placement in Automated mode and currently have all other metrics in Recommend mode."

"It became obvious to us that there was a lot more being offered in the product that we could leverage to ensure our VMware environment was running efficiently."

"It helps us get a consolidated view of all customer spending into a single dashboard, allowing us to identify opportunities to improve their current spending."

"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."

"Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation."

"We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time."

"We have a system where our developers automate machine builds, and that is constantly running out of resources. Turbonomic helps us with that, so I don't have to keep buying hardware. The developers always say, "They don't have enough. They don't have enough. They don't have enough," when they just configured it improperly. Therefore, Turbonomic helps us identify configuration issues on their side so it doesn't cost me money on the other end to buy resources that I don't really need."

"The notifications saying, "This is a corrective action," even though some of them can be automated, are always welcome to see. They summarize your entire infrastructure and how you can better utilize it. That is the biggest feature."

More IBM Turbonomic pros

Cons

"We'd like to see some AI model training for machine learning."

"We have not been able to use deduplication."

"Lack of sufficient documentation, particularly in Spanish."

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

"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."

"IBM's sales and support structure can be challenging."

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

"This solution is no longer managing tapes correctly."

"Recovering resources when they're not needed is not as optimized as it could be."

"Additional interfaces would be helpful."

"The old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool."

"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."

"The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer."

"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."

"I do not like Turbonomic's new licensing model. The previous model was pretty straightforward, whereas the new model incorporates what most of the vendors are doing now with cores and utilization. Our pricing under the new model will go up quite a bit. Before, it was pretty straightforward, easy to understand, and reasonable."

"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."

More IBM Turbonomic cons

Pricing and Cost Advice

"This solution is expensive."

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

"In the last year, Turbonomic has reduced our cloud costs by $94,000."

"Price is a big one. VMTurbo was very competitively priced."

"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."

"Everybody tells me the pricing is high. But the ROIs are great."

"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."

"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."

"It was an annual buy-in. You basically purchase it based on your host type stuff. The buy-in was about 20K, and the annual maintenance is about $3,000 a year."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

40%

Computer Software Company

Retailer

Insurance Company

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Spectrum Computing?

Easy to operate and use.

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What is your experience regarding pricing and costs for IBM Spectrum Computing?

It is expensive.

See all answers

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...

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What is your experience regarding pricing and costs for Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is set as a percentage of the consumption of some of our customers' services. The ...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

See all answers

What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...

See all answers

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Compared 13% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 8% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

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Product Reports

Buyer's Guide

Hadoop

December 2024

Download IBM Spectrum Computing product report

Buyer's Guide

IBM Turbonomic

December 2024

Download IBM Turbonomic product report

Also Known As

IBM Platform Computing

Turbonomic, VMTurbo Operations Manager

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IBM

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Interactive Demo

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IBM

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 Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

Sample Customers

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

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Buyer's Guide

IBM Spectrum Computing vs. IBM Turbonomic

December 2024

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