We performed a comparison between IBM Turbonomic and VMWare Tanzu CloudHealth 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."Turbonomic can show us if we're not using some of our storage volumes efficiently in AWS. For example, if we've over-provisioned one of our virtual machines to have dedicated IOPs that it doesn't need, Turbonomic will detect that and tell us."
"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.'"
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"I like Turbonomic's automation and AI machine learning features. It shows you what it can do, but it can also act on recommendations automatically. Integration with an APM system makes the AI/ML features truly effective. Understanding what the application is doing and the trends of application behavior can help you make real-world decisions and act on that information."
"I only deal with the infrastructure side, so I really couldn't speak to more than load balancing as the most valuable feature for me. It provides specific actions that prevent resource starvation. It always keeps things in perfect balance."
"We can manage multiple environments using a single pane of glass, which is something that I really like."
"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."
"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."
"We are able to create an internal price of the product that we can then sell to clients. We get the cost plan at a good discount and then resell it with a mark up to our enterprise-level clients. This flexibility in pricing is one of the solution's best features."
"The pricing is rather competitive right now."
"It's stable. For report presentation, it's been fast."
"We use dashboards quite heavily, but one of the features that have really stood out is some of the policies we've created to alert us of particular situations."
"This solution is fast and very easy to understand, even if you are not a technician."
"The solution is useful for cloud transparency and visibility in reports and dashboards that I have generated, especially the pre-populated dashboards."
"The solution is good for cloud cost management."
"The product is easy to use in terms of monitoring all the environments. It works for multiple clouds."
"They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date."
"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."
"It would be nice for them to have a way to do something with physical machines, but I know that is not their strength Thankfully, the majority of our environment is virtual, but it would be nice to see this type of technology across some other platforms. It would be nice to have capacity planning across physical machines."
"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."
"We don't use Turbonomic for FinOps and part of the reason is its cost reporting. The reporting could be much more robust and, if that were the case, I could pitch it for FinOps."
"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."
"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with Turbonomic."
"If you are working with the OS you need help and other connectors to get more information."
"The export features regarding CSV files and specifically around identifying savings plans have room for improvement, as well as the drill-down features for reservation utilization."
"The performance and accuracy of Cloud Health need to be improved."
"They should provide information or tools to tune the cloud resources according to the environment size."
"The Perspectives feature could be better."
"I would like to see better integration from CloudHealth to create easier setup and implementation."
"It would be helpful to have a mobile version or a tablet version, especially for people who are outside of the office."
"The solution doesn't offer the best functionality, unfortunately. Some features just simply aren't on offer. The solution needs to offer more product milestones."
IBM Turbonomic is ranked 4th in Cloud Management with 204 reviews while VMWare Tanzu CloudHealth is ranked 17th in Cloud Management with 9 reviews. IBM Turbonomic is rated 8.8, while VMWare Tanzu CloudHealth is rated 8.6. The top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". On the other hand, the top reviewer of VMWare Tanzu CloudHealth writes "Useful for Cloud transparency and visability". IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware vSphere and Cloudability, whereas VMWare Tanzu CloudHealth is most compared with Azure Cost Management, VMware Aria Operations, Cloudability, Densify and ServiceNow. See our IBM Turbonomic vs. VMWare Tanzu CloudHealth report.
See our list of best Cloud Management vendors and best Cloud Cost Management vendors.
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