Hybrid Cloud Management & Optimization Comparison Chart

Looking to get more out of your cloud services? Here are the most popular cloud management and optimization products and what each can do for you.

Densify CloudHealth (VMware) Turbonomic CloudCheckr Cloudability vRealize Operations (vROps)
Supported Clouds
AWS full support full support full support full support full support no support
Azure full support full support full support full support full support no support
Google Cloud full support full support no support full support full support no support
IBM Cloud full support no support full support no support no support no support
Private Cloud Capacity full support no support full support no support no support full support
Hybrid Workloads full support no support full support no support no support no support
Supported Optimization Technologies
Compute Sizing full support full support full support full support full support no support
Database Sizing full support no support full support some support some support no support
Instance Family Optimization full support no support no support no support no support no support
Scaling Group Optimization full support no support no support no support no support no support
Reserved Instance Optimization full support some support some support some support some support no support
Machine-Learning/AI-Based Engine full support no support some support no support no support no support
Optimization as Code full support no support no support no support no support no support
Container Support
Kubernetes full support some support full support no support no support no support
OpenShift full support no support full support no support no support no support
Amazon EKS full support no support full support no support no support no support
Azure Kubernetes Service (AKS) full support no support full support no support no support no support
Google Kubernetes Engine (GKE) full support no support full support no support no support no support
Functionality of Technology
Application Demand Modeling full support no support no support no support no support no support
Cloud Supply Normalization full support no support no support no support no support no support
Proactive Resource Matching full support no support no support no support no support no support
Self-Optimizing Workloads full support no support no support no support no support no support
Automatic Workload Adjustments full support full support no support no support no support no support
Workload Tagging of Optimization Output full support no support no support no support no support no support
Purely SaaS-Based full support full support no support full support full support no support
Cloud Migration Analysis/Planning full support some support some support no support some support some support
Features & Services
Bill Analysis full support full support full support full support full support no support
Built-In Business Intelligence Reporting full support no support no support no support no support no support
Customizable Reports full support full support full support full support full support no support
App Owner Report full support no support no support no support no support no support
Policy-Based Cost Control full support full support full support full support full support no support
Line-of-Business Chargebacks full support full support full support full support full support no support
Cloud Advisor full support no support no support no support no support no support

Key

full support
Full support
some support
Some support
no support
No support

The data presented in the above chart was compiled by Densify based on a combination of commercially-available information, customer statements, and our own assessments.

Testing results report on Densify technology See The Results of Third-Party Testing of Densify Cloud Management Technology

Intelligence & Service Set Us Apart

Densify leverages patented, predictive analytics that perform advanced modeling of workload patterns to give precise, automatable cloud cost results—not naive suggestions. This means we truly align cloud supply and demand, and perform sophisticated optimization scenarios for your cloud environments that others simply can’t.

Advanced Workload Pattern Analysis

Densify analysis starts with a learning step, where historical data is used to establish a baseline operational envelope for cloud workloads. Using historical workload data is very important, as cloud optimization recommendations must account for cyclical loads such as month end and quarter end peaks, as well as time-of-day patterns, such as start-of-day peaks or overnight batch jobs. Many cloud management products focus on the bill, not the actual workloads, and even if they do they work with averages that obscure the detail and result in the wrong answers being given. And that means more cost and risk for your cloud workloads.

Daily operational patterns
Daily operational pattern of a set of workloads running in Azure based on operational history

Our Data Normalization Ensures Incredible Accuracy

A critical part of workload pattern is normalizing the data using benchmarks, so the actual work being done can be analyzed against the service offerings of the cloud providers. Understanding the detailed configurations and performance characteristics of the hardware underlying the cloud offerings is also critical to this, and makes the difference between vague recommendations, like “consider making that instance smaller”, to specific, actionable optimization actions, like “make that c3.xlarge instance a c4.large”

Densify guides you specifically to savings by indentifying the exact actions you should take to save on cloud costs
Detailed Amazon EC2 optimization recommendations, highlighting cases where moving to a different instance class would save a lot of money

Modernizing Public Cloud Instances Pays Off

Densify is the only offering with the ability to normalize workload data between cloud offerings and instance classes. This is key to modernizing and choosing the right class of instance for your workloads—a big driver of cost savings. Analysis shows that making adjustments within the same instance class typically yields a 15-20% reduction, but being able to precisely analyze across classes gives 35-40% savings. You cannot do this unless you normalize the data using benchmarks.

Densify delivers an average savings of 35-40%

Accurately Forecast Your Public Cloud Needs—Today & Tomorrow

Optimization is not a onetime thing. Cloud environments are constantly changing and growing, and what is optimal for today may not be optimal for tomorrow. Densify provides the ability to look into the future and model what is going to happen, both by analyzing the trends in the data and modeling application growth, deployments and other planned changes. This means you can stay ahead of the game and keep your applications running smoothly. And if you use reserved instances (RIs) it means you don’t lock into a set of services that can’t take you where you need to go.

Strategies that Dovetail Workloads for The Best Results

Densify also enables pattern-based workload stacking, enabling you to take advantage of bare metal cloud offerings and container-based hosting models. This ability to "play Tetris®" with workloads and dovetail workload patterns means that you can sweat your cloud assets while reducing resource contention, and can only be done by Densify.

Putting the right workloads in the right place can lead to 80%+ savings