Densify vs Spot comparison

Densify and Spot are both solutions in the Cloud Analytics category. Densify is ranked #2, while Spot is ranked #3 with an average rating of 7.0. Densify holds a 18.2% mindshare in CA, compared to Spot’s 15.9% mindshare. Additionally, 80% of Densify users are willing to recommend the solution, compared to 100% of Spot users who would recommend it.

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Executive SummaryUpdated on Apr 8, 2025

Densify and Spot are competing solutions in cloud infrastructure optimization and cost management. Densify holds an edge in pricing models and support, while Spot is preferred for its comprehensive features.

Features: Densify includes predictive analytics, sophisticated resource optimization capabilities, and advanced reporting features. Spot offers automated infrastructure management, dynamic workload optimization, and extensive cost-saving tools.

Ease of Deployment and Customer Service: Densify provides a streamlined deployment process with excellent customer support, ensuring minimal disruption. Spot offers quick deployment with the ease of automation, though its direct support is less extensive than Densify.

Pricing and ROI: Densify presents an accessible pricing structure with clear ROI due to focused optimization strategies. Spot, initially more costly, offers higher ROI potential through comprehensive cost-cutting features.

To learn more, read our detailed Densify vs. Spot Report (Updated: April 2025).

Buyer's Guide

Densify vs. Spot

April 2025

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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

IBM Turbonomic

Mindshare comparison

As of May 2025, in the Cloud Analytics category, the mindshare of IBM Turbonomic is 29.5%, down from 41.0% compared to the previous year. The mindshare of Densify is 18.2%, down from 43.4% compared to the previous year. The mindshare of Spot is 15.9%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Analytics

Featured Reviews

Alex Darby

Director, Infrastructure, Wintel Engineering at a insurance company with 5,001-10,000 employees

Saves time during workload migration, facilitates sizing of virtual servers, and the support team is helpful

The right-sizing feature is the most captivating one for us. It helped in taking the emotions out of what people think they need, basing it off of real data, and providing them what they actually need. It's not really a special feature, but the support that we received from that team really helped us in our success. There were definitely some customizations that needed to take place to make it successful. This is the most aware of our products, in terms of understanding all of the components from the top down. It is integrated with all of the different modules, all the way down to the core infrastructure. All of it is tied together and there are not many tools that can do that.

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Amit Kantia

Infrastructure capacity & demand manager at Kyndryl

Its most valuable feature is the ability to capture attributes in the console, but it is not a stable solution

I recommend others to use Densify. They can not only use it for reporting but for automation as well. They can implement the policies on the console easily during the build-out procedure. Stability is the primary concern to us as it is causing lots of problems. We can only make significant decisions if Densify allows us, and it takes lots of time. Thus, I rate the tool as a six out of ten.

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Manpreet_Singh

Senior Principal Infrastructure Engineer at Mphasis

Used to manage Kubernetes infrastructure, but it doesn't have support from OCI

Spot Ocean is deployed on the cloud in our organization. I would recommend the solution to other users. You need to have an experience with Kubernetes, or else this product is of no use. It is not difficult to learn to use Spot Ocean. Overall, I rate the solution a seven out of ten.

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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 most valuable features are the cluster utilization reports and the resource capacity planning. We can simulate how much capacity we can add to the current resources. The individual DM reports and VM-facing recommendations report are also helpful."

"Turbonomic has helped optimize cloud operations and reduced our cloud costs significantly. Overall, we are at about 40 percent savings, and we spend about three million a year just in Azure. It reduces the size of the VMs, putting them into the right template for usage. People don't realize that you don't have to future-proof a virtual machine in Azure. You just need to build it for today. As the business or service grows, you can scale up or out. About 90 percent of all the costs that we've reduced has been from sizing machines appropriately."

"We like that Turbonomic shows application metrics and estimates the impact of taking a suggested action. It provides us a map of resource utilization as part of its recommendation. We evaluate and compare that to what we think would be appropriate from a human perspective to that what Turbonomic is doing, then take the best action going forward."

"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."

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

"Rightsizing is valuable. Its recommendations are pretty good."

"Turbonomic helps us right-size virtual machines to utilize the available infrastructure components available and suggest where resources should exist. We also use the predictive tool to forecast what will happen when we add additional compute-demanding virtual machines or something to the environment. It shows us how that would impact existing resources. All of that frees up time that would otherwise be spent on manual calculation."

"Using this product helps us to reduce performance risk because it shows us where resources are needed but not yet allocated."

More IBM Turbonomic pros

"The Densify Control Console, and Environment Status."

"The Control Console provides a very easy to read dashboard of "too little/just right/too much" resources both for current data and on a historical or predictive basis."

"Densify's ability to aggregate multiple on-premise vCenters and multiple cloud accounts, gives it a level of visibility not found in many places."

"The solution's tech support is excellent."

"The tool will come back and tell us that we can operate with 1,000 minutes as an example, save 90% on the contractual rate and not run into any issues."

"One would be the automatic rebalancing of the environment. That was one feature which helped. With that, we could improve our efficiency of our VMware infrastructure."

"The Control Console is an incredible way to give a quick view of current capacity utilization allowing technical people to drill down quickly and allowing business/management people to get a quick overview of the environment."

"I would say that the initial thing is that it provides us with a technological basis to expand capacity management beyond Excel."

More Densify pros

"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."

"The solution offers both block access and file access, making it a nice solution for customers."

Cons

"The way it handles updates needs to be improved."

"The GUI and policy creation have room for improvement. There should be a better view of some of the numbers that are provided and easier to access. And policy creation should have it easier to identify groups."

"It sometimes does get false positives. Sometimes, it'll move something when it really wasn't a performance metric. I've seen it do that, but it's pretty much an automated tool for performance. We've only got about 500 virtual machines, so lots of times, I'm able to manage it physically, but it's definitely a nice tool for a larger enterprise that might be managing 2,000 or 3,000 virtual machines."

"Remove the need for special in-house knowledge and development."

"We're still evaluating the solution, so I don't know enough about what I don't know. They've done a lot over the years. I used Turbonomics six or seven years ago before IBM bought them. They've matured a lot since then."

"I would love to see Turbonomic analyze backup data. We have had people in the past put servers into daily full backups with seven-year retention and where the disk size is two terabytes. So, every single day, there is a two terabyte snapshot put into a Blob somewhere. I would love to see Turbonomic say, "Here are all your backups along with the age of them," to help us manage the savings by not having us spend so much on the storage in Azure. That would be huge."

"Turbonomic doesn't do storage placement how I would prefer. We use multiple shared storage volumes on VMware, so I don't have one big disk. I have lots of disks that I can place VMs on, and that consumes IOPS from the disk subsystem. We were getting recommendations to provision a new volume."

"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."

More IBM Turbonomic cons

"The solution's stability is the primary concern for me."

"It seems that the mechanism for integration is, it goes so far but I think there could be some standard integration to normal remedy service now etc. I think that should be out of the box."

"A closer integration to the service management processes."

"Some parts of the interface are rather complex and require a bit of time to navigate, but this has never stopped us as a Densify advisor is readily available to help with our "how to" queries."

"In terms of integration, the tool has great data. However, it's not always meaningful because the true business attributes of how most Fortune 500 companies operate are not maintaining in one tool, they're in a school of many tools."

"Normalization of CPU utilization is required. At present, the data is available based on entitlement level."

"Unfortunately the tools and mechanisms which really came to maturity in the cloud, and were not mainstream on-premise, are still not implemented."

"Initially we talked about some custom reporting, wherein our customer expected certain reports on a few areas, like how the storage is allocated, how the network performance is doing, and how the network utilization is happening for a virtual machine."

"There are no particular areas for improvement I can identify."

"The solution doesn't have support from OCI, and it should start working to onboard OCI."

Pricing and Cost Advice

"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."

"Licensing is per socket, so load up on the cores rather than a lot of lower core CPUs."

"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."

"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."

"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."

"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."

"IBM Turbonomic is an investment that we believe will deliver positive returns."

More IBM Turbonomic pricing and cost advice

"Cost is always involved, but then I feel that this solution is better than other products that we have."

"Densify has licensing setup so you can collect data without licensing. It gives you the ability to collect on everything, then choose later what you would like to license."

"Setup cost is negligible, as it scales fairly well."

"There was some sticker shock, as this is not just another software product to spit out graphs."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Manufacturing Company

29%

Financial Services Firm

16%

Computer Software Company

13%

Healthcare Company

Manufacturing Company

25%

Computer Software Company

15%

Financial Services Firm

12%

Real Estate/Law Firm

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 Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

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What do you like most about Spot Ocean?

The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application ...

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What needs improvement with Spot Ocean?

There are no particular areas for improvement I can identify.

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What is your primary use case for Spot Ocean?

Spot by NetApp is primarily used for backup and also for Fiservware.

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Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 17% of the time

Azure Cost Management vs IBM Turbonomic

Compared 12% of the time

VMware vSphere vs IBM Turbonomic

Compared 8% of the time

Cloudability vs IBM Turbonomic

Compared 7% of the time

AWS Trusted Advisor vs IBM Turbonomic

Compared 3% of the time

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Cloudability vs Densify

Compared 37% of the time

Intel Granulate vs Densify

Compared 16% of the time

VMware Aria Operations vs Densify

Compared 15% of the time

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ProsperOps vs Spot

Compared 20% of the time

Flexera Cloud Cost Management vs Spot

Compared 15% of the time

Apache Spark vs Spot

Compared 13% of the time

Cloudability vs Spot

Compared 12% of the time

nOps vs Spot

Compared 12% of the time

More Spot Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

May 2025

Download IBM Turbonomic product report

Buyer's Guide

Densify

May 2025

Download Densify product report

Buyer's Guide

Cloud Analytics

April 2025

Download Spot product report

Also Known As

Turbonomic, VMTurbo Operations Manager

No data available

Spot Ocean, Spot Elastigroup, Spot Eco

Interactive Demo

IBM

Demo not available

Densify

Demo not available

Spot

Overview

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

Densify is a hybrid cloud and container resource management platform that makes workloads self-aware of their precise resource requirements and automates the resource management and selection process. This solution helps you control your cloud spend and also helps your apps perform and scale better. Densify enables you to match your cloud requirements with the optimal cloud supply. Additionally, Densify is the only technology that leverages patented, predictive machine learning-powered analytics to perform advanced modeling of workload patterns, and provide precise optimization directives. It is ideal for cloud engineers, container platform owners, and IT finance.

Densify works by:

Establishing application demand patterns that are based on business cycles, seasonality, peaks, valleys, and other variables.
Building normalized models of cloud supply and ingesting the entire cloud catalog and latest technologies.
Considering numerous factors, such as performance benchmarks, cost, technical rules, tags, and policies. The solution uses business and functional tags, operational realities, and granular policy control.

Densify Features

Densify has many valuable key features. Some of the most useful ones include:

Integration with management and provisioning systems
Machine learning-based analytics
Automated resource optimization
App owner collaboration
Tailored efficiency reports
Observability
Controllability
Capacity optimization
Policy driven, automated governance
VM placement
Predictive analytics

Densify Benefits

There are many benefits to implementing Densify. Some of the biggest advantages the solution offers include:

Automated resource management: Densify provides your organization with automated resource management at scale, with elasticity at an affordable low cost.

Full stack visibility: The Densify solution offers full stack visibility with improved efficiency by determining container size and node resources.

Financial visibility: In addition to full stack visibility, one of Densify’s other advantages is that it offers full financial visibility and cost intelligence for both reporting as well as chargebacks.

Resizing and rebalancing: Densify analyzes your private cloud infrastructure, providing resizing and rebalancing recommendations.

Helps you choose the right host environment: Densify automatically routes workloads to the best hosting environment based on detailed workload requirements. For workloads not requiring immediate placement, it reserves capacity to ensure it is available when required.

A true SaaS implementation: Because Densify is a true SaaS implementation, there is no software to maintain or to learn.

Better for IT finance: The solution is good for IT finance because it collects and analyzes your detailed billing data, giving you visibility into your spending, what services you’re buying, and how to better manage your costs. In addition, it can also generate reports that cover your spending and your utilization of reservations and reserved instances and savings plans.

Reduce risk and costs: Machine learning-based analytics help your organization optimize consumption to eliminate waste and overprovisioning while ensuring performance.

Cost-efficient: The Densify solution is cost-efficient, helping you drastically reduce per-processor software license costs by placing workloads intelligently.

Densify

Spot provides dynamic workload management for cloud environments, offering cost optimization and enhanced performance. It stands out with its unique approach to managing resources efficiently.

Spot is designed to enhance cloud resource utilization and cost-effectiveness through intelligent workload management. With real-time analysis, Spot determines and deploys the most efficient resources, ensuring optimal performance for applications. Businesses benefit from reduced cloud expenses and increased operational efficiency, making it an essential tool for managing cloud infrastructure effectively.

What are the key features of Spot?

Automated Scaling: Automatically adjusts cloud resources based on demand and usage patterns.
Real-Time Monitoring: Provides continuous oversight to ensure optimal performance and operational efficiency.
Cost Optimization: Reduces expenses by utilizing spot instances and leveraging cost-effective cloud resources.
Seamless Integration: Easily integrates with existing cloud services and infrastructures.

What benefits should users look for in Spot?

Cost Reduction: Users can expect to see a significant decrease in cloud expenses.
Improved Efficiency: Enhancements in operational processes and workload management.
Resource Optimization: Better allocation and usage of cloud resources.
Scalability: Capability to handle increasing amounts of work effectively.

In finance, Spot ensures cost-effective cloud computing for trading platforms, while in e-commerce, it dynamically manages back-end processes. In the entertainment industry, Spot optimizes media streaming by deploying resources when user demand spikes. Each industry leverages Spot to maximize performance and minimize operational costs, demonstrating its versatility and reliability across sectors.

Spot

Sample Customers

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

AIG, Bank of America, Cigna, Citi

Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster

Buyer's Guide

Densify vs. Spot

April 2025

Free Report: Densify vs. Spot

Find out what your peers are saying about Densify vs. Spot and other solutions. Updated: April 2025.

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