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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 Turbonomics team is always looking for ways to improve their product."
"Due to automation of workload placements Infra Management has been more efficient and smooth."
"Customer Service: Excellent Technical Support: The support team at VMTurbo is so quick in responding."
"Turbonomic is helpful in generating a variety of reports, which in most cases act as the baseline for maintenance activities that we carry out within our virtual environment."
"Performance is something that should constantly be monitored and constantly be worked on, and Turbonomic is doing that in the background, without me having to manually do it, which is a great help."
"Getting a better understanding on host utilization, providing better planning on infrastructure upgrades."
"Customer service has always been exceptional and technical support has been very quick to respond and very knowledgeable."
"We no longer have to constantly manually manage host utilization to keep some hosts from running much hotter than others."
 

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."
"Some features are only available via changes to the deployment YAML, and it would be better to have them in the UI."
"Many of the current recommendations are inaccurate."
"Like any software I use, I'm looking for the least amount of clicking needed to get to places. If I need to click 10 different windows to get a report, I'm done with the software."
"I would like to see the UI become a little more clean but have no suggestion on how to make it better."
"We are looking forward to the HTML5 interface."
"Price is a little bit steep – if you have a targeted project, then its worth it, otherwise ongoing costs can be a little steep."
"It does take a while to figure out their way of doing things."
"Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."
 

Pricing and Cost Advice

Information not available
"I'm not involved in any of the billing, but my understanding is that is fairly expensive."
"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."
"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."
"In the last year, Turbonomic has reduced our cloud costs by $94,000."
"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."
"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."
"What I can advise is to trial the product, taking advantage of the Turbonomic pre-sales implemention support and kickstart training."
"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."
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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.
920,336 professionals have used our research since 2012.