IBM Spectrum Computing vs Morpheus comparison

IBM and Morpheus Data are both solutions in the Cloud Management category. IBM is ranked #23 with an average rating of 9.0, while Morpheus Data is ranked #7 with an average rating of 7.9. IBM holds a 0.7% mindshare in CM, compared to Morpheus Data’s 6.5% mindshare. Additionally, 57% of IBM users are willing to recommend the solution, compared to 75% of Morpheus Data users who would recommend it.

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Spectrum Computing and Morpheus based on real PeerSpot user reviews.

Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

IBM Spectrum Computing vs. Morpheus

October 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

As of November 2024, in the Cloud Management category, the mindshare of IBM Turbonomic is 6.3%, down from 6.6% compared to the previous year. The mindshare of IBM Spectrum Computing is 0.7%, up from 0.5% compared to the previous year. The mindshare of Morpheus is 6.5%, up from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Management

Featured Reviews

SubashSubbiah

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

Dec 10, 2022

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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Avra Jyoti Ghosh

Data QualityTechnical Architect at Mindtree

Aug 25, 2022

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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MarkWittling

NFV Cloud Architect at a comms service provider with 10,001+ employees

Apr 4, 2023

Seamless upgrades, stable, and easy to deploy

We've been facing some challenges with Morpheus due to its design for public cloud usage. Their main focus is on allowing customers to deploy virtual machines to Azure, Google Cloud, AWS (and other private or public clouds they support). They provide features such as guidance and cost optimization. However, we're using Morpheus for on-prem v center clouds, which is probably not the user base norm. We are very pleased with the dashboard and multi-tenancy capabilities, but there are some challenges when deploying and configuring the more complex Telco workloads that have advanced networking. The integration of the NSX-T needs to be refactored. As I have been working on the API, there are some issues with the workflow engine in the automation that need to be addressed. For example, I need to be able to flag a task as fail or continue on fail if something goes wrong in the workflow. Currently, if one of the tasks in a twenty-task workflow fails, the remaining nineteen are not run, which can be a problem if one of those tasks is critical, such as when patching or doing security tasks. Thus, workflow enhancements and improvements are necessary. Morpheus desires the ability to control the full life cycle of a virtual machine from beginning to end. We have many vendors who want to establish virtual machines, but we want users to access them through Morpheus. We want the VMs to be provisioned from an external system and then be managed in Morpheus so users can only perform limited activities without being able to delete or provision them. We are currently working on resolving this issue, which I refer to as reconciliation. I have asked the developers to implement multi-tenancy, where each tenant has their own landing page at a unique URL. However, we are using groups, not tenants, so there are features we can do with tenants that we cannot do with groups. Specifically, I am trying to get the developers to add notifications support so that when a group member logs in to the Morpheus portal, they can be informed of their VMs' maintenance schedule at a specific time. This is a feature I have requested them to add. We are generally pleased with Morpheus, however, due to some restraints and restrictions, we are utilizing it differently than the majority of its users. This creates some difficulty.

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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 proactive monitoring of all our open enrollment applications has improved our organization. We have used it to size applications that we are moving to the cloud. Therefore, when we move them out there, we have them appropriately sized. We use it for reporting to current application owners, showing them where they are wasting money. There are easy things to find for an application, e.g., they decommissioned the server, but they never took care of the storage. Without a tool like this, that storage would just sit there forever, with us getting billed for it."

"The most important feature to us is an objective measurement of VM headroom per cluster. In addition, the ability to check for the right-sizing of VMs."

"The solution has a good optimization feature."

"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."

"I like Turbonomic's built-in reporting. It provides a ton of information out of the box, so I don't have to build panels for the monthly summaries and other reports I need to present to management. We get better performance and bottleneck reporting from this than we do from our older EMC software."

"On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand."

"The system automatically sizes and moves resources based on the needs of the applications."

"The automation and orchestration components are definitely the best part, as you can tell it what it can do and when, and just let it be."

More IBM Turbonomic pros

"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."

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

"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,"

"The most valuable feature is the backup capability."

"The most valuable feature of Morpheus is its strong integration with vSphere Cloud."

"Morpheus provides a very easy and one-click solution to scaling up and down."

"The most valuable feature for me was cost optimization."

"The most beneficial features for us were the API integrations with various cloud vendors like Nutanix, VMware, AWS, Azure, and GCP. It saved us the effort of doing that work ourselves."

"Provides a good automation platform."

"The user interface of the application is exceptional."

"The multi-cloud integrations and the DevOps and operational integrations are the most valuable. Morpheus platform is a centralized set to manage different clouds and your on-premise platforms. It does a very good job of what it is designed to do. It is very good in terms of features. It is extremely stable and easy to install. It is also very scalable. Their support is also extremely good."

"Morpheus is an intuitive solution that is very easy to use."

More Morpheus pros

Cons

"It can be more agnostic in terms of the solutions that it provides. It can include some other cost-saving methods for the public cloud and SaaS applications as well."

"Additional interfaces would be helpful."

"The way it handles updates needs to be improved."

"I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more."

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

"There are a few things that we did notice. It does kind of seem to run away from itself a little bit. It does seem to have a mind of its own sometimes. It goes out there and just kind of goes crazy. There needs to be something that kind of throttles things back a little bit. I have personally seen where we've been working on things, then pulled servers out of the VMware cluster and found that Turbonomic was still trying to ship resources to and from that node. So, there has to be some kind of throttling or ability for it to not be so buggy in that area. Because we've pulled nodes out of a cluster into maintenance mode, then brought it back up, and it tried to put workloads on that outside of a cluster. There may be something that is available for this, but it seems very kludgy to me."

"The implementation could be enhanced."

"The reporting needs to be improved. It's important for us to know and be able to look back on what happened and why certain decisions were made, and we want to use a custom report for this."

More IBM Turbonomic cons

"Lack of sufficient documentation, particularly in Spanish."

"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."

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

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

"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."

"Morpheus is working hard on creating an integration framework due for release in Q2 2021 which will allow clients to create their own interfaces and integrations into any 3rd party product that has a full-function API. Morpheus is also heavily focussed on enhancing the container management side to compete head-to-head with Openshift and CloudForms in Q3 2021."

"We've been facing some challenges with Morpheus due to its design for public cloud usage."

"The solution's pricing and customization need to improve."

"I faced a few problems while deploying."

"The service is limited and somewhat lacking."

"There is room for enhancement in integrating Morpheus with other solutions."

"The tool could support virtual network functions better. It is really good at doing enterprise-type of things, but one of the things on which we're working with them is loading very complex virtual machines with it, such as Juniper SRX routers. It needs to support more complex virtualized resources a little bit better. Aside from that, it is a terrific tool. We really like it."

"We had to put in much effort ourselves since Morpheus's support wasn't always available to help us."

More Morpheus cons

Pricing and Cost Advice

"It's worth the time and money investment if you can afford it."

"When we have expanded our licensing, it has always been easy to make an ROI-based decision. So, it's reasonably priced. We would like to have it cheaper, but we get more benefit from it than we pay for it. At the end of the day, that's all you can hope for."

"If you're a super-small business, it may be a little bit pricey for you... But in large, enterprise companies where money is, maybe, less of an issue, Turbonomic is not that expensive. I can't imagine why any big company would not buy it, for what it does."

"I consider the pricing to be high."

"IBM Turbonomic is an investment that we believe will deliver positive returns."

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

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

"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

"This solution is expensive."

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

"The solution is cheaper if you have less number of servers, but it becomes very expensive for a large number of servers."

"The license is based on the number of virtual machines that Morpheus is managing. So, it is a pay-as-you-grow model."

"Licensing is on an annual basis, and it is upfront for the year. There is no extra cost unless you want additional support or specific deployment packs."

"Morpheus doesn't directly support cost optimization, but its API integration can facilitate resource optimization. It doesn't dynamically optimize resources like an aeronautic system would; it operates step by step."

"Initially, the license may seem like a good deal, but as we grow, it becomes costly."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

11%

Healthcare Company

Financial Services Firm

40%

Computer Software Company

10%

Retailer

Educational Organization

29%

Computer Software Company

16%

Manufacturing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

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What do you like most about IBM Spectrum Computing?

Easy to operate and use.

See all answers

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 spec...

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What do you like most about Morpheus?

The most beneficial features for us were the API integrations with various cloud vendors like Nutanix, VMware, AWS, A...

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What is your experience regarding pricing and costs for Morpheus?

We've been a Morpheus customer since the early days. I know what they're trying to sell now, and you'd really need a ...

See all answers

What needs improvement with Morpheus?

The product has become overly complex. The biggest problem is that we find a bug, they fix the bug, but then another ...

See all answers

Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 20% of the time

Azure Cost Management vs IBM Turbonomic

Compared 12% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 9% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

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HPE Ezmeral Data Fabric vs IBM Spectrum Computing

Compared 32% of the time

Red Hat CloudForms vs IBM Spectrum Computing

Compared 30% of the time

More IBM Spectrum Computing Competitors

VMware Aria Automation vs Morpheus

Compared 27% of the time

Nutanix Cloud Manager (NCM) vs Morpheus

Compared 15% of the time

CloudBolt vs Morpheus

Compared 13% of the time

VMware Cloud Director vs Morpheus

Compared 10% of the time

OpenNebula vs Morpheus

Compared 3% of the time

More Morpheus Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

October 2024

Download IBM Turbonomic product report

Buyer's Guide

Hadoop

October 2024

Download IBM Spectrum Computing product report

Buyer's Guide

Morpheus

October 2024

Download Morpheus product report

Also Known As

Turbonomic, VMTurbo Operations Manager

IBM Platform Computing

Morpheus Cloud Management Platform, Morpheus CMP

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IBM

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IBM

Morpheus Data

Interactive Demo

IBM

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IBM

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Morpheus Data

Overview

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.

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.

Morpheus is a 100% agnostic cloud management platform (CMP) designed from the ground up to unify management of multi-cloud and hybrid IT while empowering DevOps teams with self-service provisioning of bare metal, VM, and container-based application services.

Sample Customers

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

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

Morpheus CMP, mcdonalds, blackrock, HSBC, astrazeneca, arris, WGU, GBG, pennstate, beyondtrust

Buyer's Guide

IBM Spectrum Computing vs. Morpheus

October 2024

Free Report: IBM Spectrum Computing vs. Morpheus

Find out what your peers are saying about IBM Spectrum Computing vs. Morpheus and other solutions. Updated: October 2024.

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