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."The automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps."
"It also brings up a list of machines and if something is under-provisioned and needs more compute power it will tell you, 'This server needs more compute power, and we suggest you raise it up to this level.' It will even automatically do it for you. In Azure, you don't have to actually go into the cloud provider to resize. You can just say, 'Apply these resizes,' and Turbonomic uses some back-end APIs to make the changes for you."
"In our organization, optimizing application performance is a continuous process that is beyond human scale. We would not be able to do the number of actions that Turbonomic takes on a daily, weekly, and monthly basis. It is humanly impossible with the little micro adjustments that it can make. That is a huge differentiator. If you just figure each action could take anywhere very conservatively from five to 10 minutes to act upon, then you multiply that out by thousands of actions every month, it is easily something where you could say, "I am saving a couple of FTEs.""
"Before implementing Turbonomic, we had difficulty reaching a consensus about VM placement and sizing. Everybody's opinion was wrong, including mine. The application developers, implementers, and infrastructure team could never decide the appropriate size of a virtual machine. I always made the machines small, and they always made them too big. We were both probably wrong."
"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."
"The solution has a good optimization feature."
"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.'"
"It has automated a lot of things. We have saved 30 to 35 percent in human resource time and cost, which is pretty substantial. We don't have a big workforce here, so we have to use all the automation we can get."
"The solution is good for cloud cost management."
"This solution is fast and very easy to understand, even if you are not a technician."
"It's stable. For report presentation, it's been fast."
"The most valuable thing I have found is the cost saving recommendations"
"The product is easy to use in terms of monitoring all the environments. It works for multiple clouds."
"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."
"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."
"The deployment process is a little tricky. It wasn't hard for me because I have pretty in-depth knowledge of Kubernetes, and their software runs on Kubernetes. To deploy it or upgrade it, you have to be able to follow steps and use the Kubernetes command line, or you'll need someone to come in and do it for you."
"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."
"Before IBM bought it, the support was fantastic. After IBM bought it, the support became very disappointing."
"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."
"If they would educate their customers to understand the latest updates, that would help customers... Also, there are a lot of features that are not available in Turbonomic. For example, PaaS component optimization and automation are still in the development phase."
"Additional interfaces would be helpful."
"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."
"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."
"CloudHealth needs to start building out Turbonomics-types of features that help the customers who are using CloudHealth really understand everything down to the server level, the virtual machine level."
"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."
"They should provide information or tools to tune the cloud resources according to the environment size."
"It would be helpful to have a mobile version or a tablet version, especially for people who are outside of the office."
"The Perspectives feature could be better."
"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."
"If you are working with the OS you need help and other connectors to get more information."
"I would like to see better integration from CloudHealth to create easier setup and implementation."
IBM Turbonomic is ranked 4th in Cloud Management with 204 reviews while VMWare Tanzu CloudHealth is ranked 15th 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.
We monitor all Cloud Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.