We performed a comparison between AWS Trusted Advisor 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."The Security Advisor is the most valuable feature. It instantly informs you about any system misconfigurations, and the best part is, it's completely free."
"The cost optimization features are valuable."
"The cost optimization and security-related fixes in AWS Trusted Advisor have been great."
"AWS Trusted Advisor is a tool that we can use to optimize the AWS infrastructure cost."
"The system automatically sizes and moves resources based on the needs of the applications."
"My favorite part of the solution is the automation scheduling. Being able to choose when actions happen, and how they happen..."
"It is a good holistic platform that is easy to use. It works pretty well."
"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."
"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."
"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."
"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."
"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."
"For EC2 instances, we need to install the AWS CloudWatch agent to get the memory metric because we don't have a by-default memory utilization graph on cost optimization."
"Maybe adding more security rules would be great."
"I'd like the solution to support clouds beyond AWS."
"The tenancy must be free for all metrics."
"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 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 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."
"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 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."
"Recovering resources when they're not needed is not as optimized as it could be."
"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."
AWS Trusted Advisor is ranked 22nd in Cloud Management with 4 reviews while IBM Turbonomic is ranked 4th in Cloud Management with 204 reviews. AWS Trusted Advisor is rated 8.6, while IBM Turbonomic is rated 8.8. The top reviewer of AWS Trusted Advisor writes "A stable and easy-to-use product that provides excellent cost optimization features and technical support". On the other hand, the top reviewer of IBM Turbonomic writes "The solution reduced our operational expenditures and is able to identify points before we even noticed them ". AWS Trusted Advisor is most compared with AWS Control Tower, CloudCheckr and VMware Aria Cost powered by CloudHealth, whereas IBM Turbonomic is most compared with VMware Aria Operations, Azure Cost Management, Cisco Intersight, VMware Aria Cost powered by CloudHealth and NetApp Cloud Insights. See our AWS Trusted Advisor vs. IBM Turbonomic report.
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