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Datapipe Cloud Analytics for AWS vs IBM Turbonomic comparison

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Comparison Buyer's Guide

Executive Summary

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

Datapipe Cloud Analytics fo...
Ranking in Cloud Analytics
12th
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
IBM Turbonomic
Ranking in Cloud Analytics
1st
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
205
Ranking in other categories
Cloud Migration (2nd), Cloud Management (4th), Virtualization Management Tools (3rd), IT Financial Management (3rd), IT Operations Analytics (9th), Cloud Cost Management (3rd), AIOps (18th)
 

Mindshare comparison

As of November 2026, in the Cloud Analytics category, the mindshare of Datapipe Cloud Analytics for AWS is 3.3%, up from 2.2% compared to the previous year. The mindshare of IBM Turbonomic is 21.5%, down from 22.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics Mindshare Distribution
ProductMindshare (%)
IBM Turbonomic21.5%
Datapipe Cloud Analytics for AWS3.3%
Other75.2%
Cloud Analytics
 

Featured Reviews

JC
Director of Data Science at HealthWorks Analytics
Stable, straightforward to set up and does have good integration with various useful tools
The on-demand pipeline execution is something that we've had some challenges with for on-demand scheduling, however, we have some fairly complex use cases there. That said, we have had some problems getting that to work across a wide variety of use cases. Therefore, depending on the latency and the on-demand nature of it, they could do some improvement there. QuickSight is evolving pretty quickly. While I liked it, it integrates with it, it would help if they did more coordinated releases so that those features in their other products are improved and that those are available too. I'd like to see it coordinated or integrated with more of a data catalog. While there are some features there, the data governance and data cataloging, they touch on that, however, that's an important area of growth. It's becoming more and more important. That's why I would like to see more sophisticated and more complete data cataloging and data governance in that product. I know they're working on that. And of course, sometimes you have to go to half a dozen different AWS products before you get the thing you want. That said, I would like to see more data cataloging, more governance.
Dan Ambrose - PeerSpot reviewer
Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees
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.

Quotes from Members

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

Pros

"I like that it's integrated, and I also like that it works well with SageMaker, and the nice thing about AWS is it actually works well in combination with some of their other tools like QuickSight and SageMaker, and I've found that those workflows to be fairly seamless and easy to coordinate across their products."
"The initial setup is pretty straightforward."
"Turnbonomic monitors your environment and reacts automatically."
"This tool offers us the best mechanism we have had so far to implement this effort."
"Turbonomic has tons of features that we use regularly from reports showing us simple IOPS stats, to showing over/under utilized VMs, and even wasted space on our datastores."
"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."
"VMTurbo Operations Manager has given myself and my staff more time to focus on other projects and tasks as well as improved overall performance of the virtual environment."
"We have really loved having VMTurbo."
"I've found that the automation of moving VMs for resource allocation is second to none."
"With Turbonomic we are using our hardware resources more efficiently."
 

Cons

"We haven't really seen an ROI. We're doing more with that product, however, probably not saving money."
"I'd like to see it coordinated or integrated with more of a data catalog."
"Licensing for clusters with few VMs (i.e. HA focus over consolidation focus)."
"Have plan data shared across user accounts within Turbonomic. Also more granular permissions."
"More Azure features are needed."
"We have issues only when we upgrade the product, example in 5.7 we have issues with HyperV and VMM."
"A more robust reporting engine would be a huge boon to us."
"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring software."
"We have no ROI so far."
"I'd like to see the creation of custom dashboards become a little more streamlined."
 

Pricing and Cost Advice

Information not available
"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."
"We see ROI in extended support agreements (ESA) for old software. Migration activities seem to be where Turbonomic has really benefited us the most. It's one click and done. We have new machines ready to go with Turbonomic, which are properly sized instead of somebody sitting there with a spreadsheet and guessing. So, my return on investment would certainly be on currency, from a software and hardware perspective."
"Everybody tells me the pricing is high. But the ROIs are great."
"It's worth the time and money investment if you can afford it."
"If you're a super-small business, it may be a little bit pricey for you... But in large, enterprise companies where money is, maybe, less of an issue, Turbonomic is not that expensive. I can't imagine why any big company would not buy it, for what it does."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"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."
"Price is a big one. VMTurbo was very competitively priced."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
8%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise57
Large Enterprise147
 

Also Known As

No data available
Turbonomic, VMTurbo Operations Manager
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Citrix, CloudPassage, mongoDB, Datastax
IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.
Find out what your peers are saying about IBM, SAP, Spot - A Flexera company and others in Cloud Analytics. Updated: October 2026.
920,223 professionals have used our research since 2012.