Hitachi Ops Center Analyzer vs IBM Turbonomic comparison

Hitachi Vantara and IBM are both solutions in the IT Operations Analytics category. Hitachi Vantara is ranked #13 with an average rating of 7.5, while IBM is ranked #4 with an average rating of 8.6. Hitachi Vantara holds a 1.4% mindshare in IOA, compared to IBM’s 0.6% mindshare. Additionally, 100% of Hitachi Vantara users are willing to recommend the solution, compared to 98% of IBM users who would recommend it.

Hitachi Ops Center Analyzer

Read 2 Hitachi Ops Center Analyzer reviews

216 Views
214 Comparison Views

100% willing to recommend

IBM Turbonomic

Read 205 IBM Turbonomic reviews

5,682 Views
57 Comparison Views

98% willing to recommend

Hitachi Ops Center Analyzer

IBM Turbonomic

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Executive Summary

We performed a comparison between Hitachi Ops Center Analyzer and IBM Turbonomic based on real PeerSpot user reviews.

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

To learn more, read our detailed Hitachi Ops Center Analyzer vs. IBM Turbonomic Report (Updated: July 2025).

Buyer's Guide

Hitachi Ops Center Analyzer vs. IBM Turbonomic

July 2025

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Helped 865,384 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Hitachi Ops Center Analyzer

Ranking in IT Operations Analytics

13th

Average Rating

7.6

Reviews Sentiment

3.9

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Turbonomic

Ranking in IT Operations Analytics

4th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

205

Ranking in other categories

Cloud Migration (4th), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (1st), Cloud Analytics (1st), Cloud Cost Management (1st), AIOps (5th)

Mindshare comparison

As of August 2025, in the IT Operations Analytics category, the mindshare of Hitachi Ops Center Analyzer is 1.4%, up from 0.8% compared to the previous year. The mindshare of IBM Turbonomic is 0.6%. It is calculated based on PeerSpot user engagement data.

IT Operations Analytics

Featured Reviews

Bratislav Petkovic

Team Lead for Core Infrastructure at Raiffeisen bank Serbia

Performance monitoring impacts operations with fast storage setup

Having eyes on performance for storage through the Analyzer is valuable for me. The Ops center from Hitachi lets us see all storage in one place, unlike Dell and EMC, where we work on one storage. The Analyzer and the Ops center provide a better solution. Before this, we used a CVP with slow performance. This solution works better than before. The visualization vector in the last version is something we have. It is easy to work with and add the storage type. There is no difficulty in adding it.

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Dan Ambrose

Infrastructure Engineer 4 at Hyland

Helps visibility, bridges the data gap, and frees up time

We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting. Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application. Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation. Although our applications are not optimized for the cloud we have seen some improvement in response time. IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days. IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering. By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs. It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings. IBM Turbonomic has positively impacted our overall application performance. IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.

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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 Ops center from Hitachi lets us see all storage in one place, unlike Dell and EMC, where we work on one storage."

"It was easy to set up."

"Having eyes on performance for storage through the Analyzer is valuable for me."

"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."

"The ability to monitor and automate both the right-sizing of VMs as well as to automate the vMotion of VMs across ESXi hosts."

"It helps us get a consolidated view of all customer spending into a single dashboard, allowing us to identify opportunities to improve their current spending."

"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."

"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 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."

"We have VM placement in Automated mode and currently have all other metrics in Recommend mode."

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

More IBM Turbonomic pros

Cons

"Very limited people are available with resource availability in this region, and they have limited knowledge."

"The dashboard needs improvement."

"I do not have any notes for improvement."

"The implementation could be enhanced."

"Before IBM bought it, the support was fantastic. After IBM bought it, the support became very disappointing."

"Additional interfaces would be helpful."

"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."

"The planning and costing areas could be a little bit more detailed. When you have more than 2,000 machines, the reports don't work properly. They need to fix it so that the reports work when you use that many virtual machines."

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

"While the product is fairly intuitive and easy to use once you learn it, it can be quite daunting until you have undergone a bit of training."

"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."

More IBM Turbonomic cons

Pricing and Cost Advice

Information not available

"The product is fairly priced right now. Given its capabilities, it is excellently priced. We think that the product will become self-funding because we will be able to maximize our resources, which will help us from a capacity perspective. That should save us money in the long run."

"The pricing and licensing are fair. We purchase based on benchmark pricing, which we have been able to get. There are no surprise charges nor hidden fees."

"We felt the pricing was very fair for the product. It is in no way prohibitive for larger deployments, unlike other similar product on the market."

"I know there have been some issues with the billing, when the numbers were first proposed, as to how much we would save. There was a huge miscommunication on our part. Turbonomic was led to believe that we could optimize our AWS footprint, because we didn't know we couldn't. So, we were promised savings of $750,000. Then, when we came to implement Turbonomic, the developers in AWS said, "Absolutely not. You're not putting that in our environment. We can't scale down anything because they coded it." Our AWS environment is a legacy environment. It has all these old applications, where all the developers who have made it are no longer with the company. Those applications generate a ton of money for us. So, if one breaks, we are really in trouble and they didn't want to have to deal with an environment that was changing and couldn't be supported. That number went from $750,000 to about $450,000. However, that wasn't Turbonomic's fault."

"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."

"I'm not involved in any of the billing, but my understanding is that is fairly expensive."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"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."

More IBM Turbonomic pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Hitachi Ops Center Analyzer?

We received Ops common and the Analyzer when we bought Hitachi storage. I do not know the price for the analysis.

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What needs improvement with Hitachi Ops Center Analyzer?

I do not have any notes for improvement.

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What is your primary use case for Hitachi Ops Center Analyzer?

We use the Analyzer for monitoring storage performance and for any alerts. We have to analyze the machine, one at the head office and a second on the Doctor site. It collects information from the s...

See all answers

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 set as a percentage of the consumption of some of our customers' services. The ...

See all answers

What needs improvement with Turbonomic?

The implementation could be enhanced.

See all answers

What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting. This helps us get a consolidated view of all customer spending into a single d...

See all answers

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Product Reports

Buyer's Guide

IT Operations Analytics

July 2025

Download Hitachi Ops Center Analyzer product report

Buyer's Guide

IBM Turbonomic

August 2025

Download IBM Turbonomic product report

Also Known As

No data available

Turbonomic, VMTurbo Operations Manager

Interactive Demo

Demo not available

Hitachi Vantara

IBM

Overview

Improve IT operations with machine learning (ML) to drive resource service levels, utilization and automation at lower costs. Obtain operational visibility from virtual machines, servers, SAN switches to shared storage resources to optimize an application’s full data path.

Hitachi Vantara

IBM Turbonomic offers automation, planning, and right-sizing recommendations to streamline resource management, improve efficiencies, and optimize costs across virtualized environments and cloud platforms.

IBM Turbonomic is valued for its capability to optimize resource allocation and monitor virtual environments efficiently. It facilitates automated decision-making in VM sizing, load balancing, and cost optimization for both on-premises and cloud deployments. Users can leverage insights for workload placement, ensure peak performance assurance, and effectively right-size across VMware and Azure. The ongoing transition to HTML5 aims to improve visual and navigational ease, while expanded reporting features are anticipated. Opportunities for improved training, documentation, and integrations enhance platform usability and functionality.

What Are the Key Features?

Automation: Streamlines resource allocation and VM management.
Planning Tools: Supports capacity management and growth projections.
Right-Sizing: Optimizes VM configurations for efficient resource use.
Customizable Dashboards: Provides quick insights into environment health.
Reporting Capabilities: Offers valuable data for informed decision-making.
Cloud Integration: Ensures cost-effective resource utilization.

What Benefits Should Be Looked For?

Performance Enhancement: Improves application performance efficiency.
Cost Reduction: Minimizes operational expenses through optimizations.
Infrastructure Efficiency: Maximizes use of IT infrastructure resources.

In finance, IBM Turbonomic aids in maintaining platform efficiency during market fluctuations. Healthcare organizations leverage its capability for resource optimization during high-demand periods to enhance patient care support. Retailers use it for planning in peak seasons, ensuring resources align with fluctuating demand to maintain performance continuity.

IBM

Sample Customers

Information Not Available

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

Buyer's Guide

Hitachi Ops Center Analyzer vs. IBM Turbonomic

July 2025

Free Report: Hitachi Ops Center Analyzer vs. IBM Turbonomic

Find out what your peers are saying about Hitachi Ops Center Analyzer vs. IBM Turbonomic and other solutions. Updated: July 2025.

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