We performed a comparison between IBM Spectrum Computing and IBM Turbonomic 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."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."
"Easy to operate and use."
"The solution has a good optimization feature."
"I like the analytics that help us optimize compatibility. Whereas Azure Advisor tells us what we have to do, Turbonomic has automation which actually does those things. That means we don't have to be present to get them done and simplifies our IT engineers' jobs."
"We can manage multiple environments using a single pane of glass, which is something that I really like."
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"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."
"The tool provides the ability to look at the consumption utilization over a period of time and determine if we need to change that resource allocation based on the actual workload consumption, as opposed to how IT has configured it. Therefore, we have come to realize that a lot of our workloads are overprovisioned, and we are spending more money in the public cloud than we need to."
"The most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful."
"The feature for optimizing VMs is the most valuable because a number of the agencies have workloads or VMs that are not really being used. Turbonomic enables us to say, 'If you combine these, or if you decide to go with a reserve instance, you will save this much.'"
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
"Recovering resources when they're not needed is not as optimized as it could be."
"The way it handles updates needs to be improved."
"The management interface seems to be designed for high-resolution screens. Somebody with a smaller-resolution screen might not like the web interface. I run a 4K monitor on it, so everything fits on the screen. With a lower resolution like 1080, you need to scroll a lot. Everything is in smaller windows. It doesn't seem to be designed for smaller screens."
"Turbonomic doesn't do storage placement how I would prefer. We use multiple shared storage volumes on VMware, so I don't have one big disk. I have lots of disks that I can place VMs on, and that consumes IOPS from the disk subsystem. We were getting recommendations to provision a new volume."
"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."
"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."
"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."
"We're still evaluating the solution, so I don't know enough about what I don't know. They've done a lot over the years. I used Turbonomics six or seven years ago before IBM bought them. They've matured a lot since then."
IBM Spectrum Computing is ranked 9th in Cloud Management with 3 reviews while IBM Turbonomic is ranked 4th in Cloud Management with 15 reviews. IBM Spectrum Computing is rated 9.0, while IBM Turbonomic is rated 8.4. The top reviewer of IBM Spectrum Computing writes "Responsive technical support with good reliability, and optimization of computing". On the other hand, the top reviewer of IBM Turbonomic writes "Provides recommendations whether workloads should be scaled up or down". IBM Spectrum Computing is most compared with HPE Ezmeral Data Fabric, Apache Spark and Cloudera Distribution for Hadoop, whereas IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware Aria Cost powered by CloudHealth and AWS Cost Management. See our IBM Spectrum Computing vs. IBM Turbonomic report.
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