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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

"The initial setup is pretty straightforward."
"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 product has worked great; it has become a set and forget tool for us which is a good thing."
"I think people will be shocked at how easy this is to get going and how much information you can get from it."
"It has helped save cloud costs by seven figures."
"There has been a pretty drastic decrease in compute and cloud spends, due to either making the changes suggested by Turbonomic, or letting Turbonomic make the changes."
"Automation and planning capabilities have become a valuable asset for us."
"The VM rightsizing tools and the intelligent placing of workloads have helped us to not only streamline what we have but, in conjunction with the sizing tools, has allowed us to look at future scenarios and potentially reduce our spend on physical kit in the DC."
"Turbonomic has allowed us to achieve greater density with optimal performance to our hosted consumers."
"Turbonomic is fantastic at scalability! It has great built in tools to plan scaling."
 

Cons

"I'd like to see it coordinated or integrated with more of a data catalog."
"We haven't really seen an ROI. We're doing more with that product, however, probably not saving money."
"One issue I have is just not knowing how to get some information I believe is there."
"The flash interface looks dated and is a little cluttered making navigating the portal less than optimal."
"Regular upgrades and patching requires a period of getting used to the new environment before getting hands-on with the tool."
"I'd like to see an improvement in the reporting, from including more canned reports, to being able to more easily customize the existing ones (without needing to write SQL queries)."
"They have a long road map when we ask for certain things that will make the product better. It takes time, but that's understandable because there are other things that are higher on the priority list."
"UI is still maturing. The UI is relatively easy to use but still does not have that professional look to it."
"A more robust reporting engine would be a huge boon to us."
"An option to remove unlicensed features from the dashboard would be welcome."
 

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."
"It's worth the time and money investment if you can afford it."
"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."
"Contact the Turbonomic sales team, explain your needs and what you're looking to monitor. They will get a pre-sales SE on the phone and together work up a very accurate quote."
"IBM Turbonomic is an investment that we believe will deliver positive returns."
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."
"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
14%
Manufacturing Company
9%
Construction Company
8%
Outsourcing 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: November 2026.
921,523 professionals have used our research since 2012.