AWS Auto Scaling vs Workspace ONE Intelligence comparison

Amazon Web Services (AWS) and Omnissa are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #40 with an average rating of 8.5, while Omnissa is ranked #43 with an average rating of 8.0. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Omnissa’s 0.5% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Omnissa users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

2,155 Views
2,069 Comparison Views

92% willing to recommend

Workspace ONE Intelligence

Read 4 Workspace ONE Intelligence reviews

1,761 Views
1,655 Comparison Views

100% willing to recommend

AWS Auto Scaling

Workspace ONE Intelligence

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Auto Scaling and Workspace ONE Intelligence based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Auto Scaling vs. Workspace ONE Intelligence Report (Updated: August 2026).

Buyer's Guide

AWS Auto Scaling vs. Workspace ONE Intelligence

August 2026

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Helped 909,725 peers since 2012

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

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

40th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Workspace ONE Intelligence

Ranking in Application Performance Monitoring (APM) and Observability

43rd

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Mobile APM (6th)

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.2% compared to the previous year. The mindshare of Workspace ONE Intelligence is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
Workspace ONE Intelligence	0.5%
Other	99.0%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help. If there could be more documentation and training on it, that would be beneficial.

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reviewer2788500

Network Operations Engineer at a media company with 1,001-5,000 employees

Proactive monitoring has transformed compliance checks and reduces help desk tickets daily

During implementation, we identified some features that I'm not actually using today, such as advanced predictive analytics and Digital Employee Experience scoring, along with real-time self-healing at scale. The biggest friction point I hit with Workspace ONE Intelligence is the high complexity of setup, along with data overload, which presents too much information. There's also a skill gap in teams, an over-automation risk, integration challenges, licensing and cost concerns, cultural resistance, and limited real-time action adoption due to the hybrid environment's complexity. If I could change just one thing about Workspace ONE Intelligence, even something small, it would be to make automation adoption simpler and safer, which would ease my workflow.

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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 product provides self-healing features."

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"The setup is not very complex."

"It can scale."

"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."

"The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. When it reaches seventy percent, it sends me an email notification."

More AWS Auto Scaling pros

"The tool's most valuable feature is its tunneling capability. It is good for inventory, encryption, device location, and kiosk mode. If a device is lost, you can find it. We integrated it with a third-party tool for one-time passwords and two-factor authentication. The user-friendly interface makes device management easy."

"I would rate Workspace ONE Intelligence nine out of ten."

"Integration is also very easy."

"Workspace ONE Intelligence has significantly impacted my organization overall by shifting the operation from reactive to proactive IT, reducing the help desk load, providing a stronger security posture, improving visibility across the enterprise, automating routine IT work, especially in banking-specific contexts, enhancing employee productivity, and optimizing costs, leading to a cultural shift in IT teams."

Cons

"The tool must include AI features."

"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."

"The billing and cost optimization of the solution could be improved."

"Flexibility in configuring the workload is missing in AWS Auto Scaling."

"The solution must improve automation."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

"The product could add more features for managing instances."

"The product’s pricing needs improvement."

More AWS Auto Scaling cons

"Windows devices management needs improvement."

"The biggest friction point I hit with Workspace ONE Intelligence is the high complexity of setup, along with data overload, which presents too much information."

"Support could be improved for Workspace, especially the technical part, and it needs to ensure that issues can be resolved within one or two days."

"One area for improvement is location mapping - it uses Bing Maps instead of Google Maps, which isn't always up to date. Device enrollment can also be challenging, especially for older devices that need a factory reset."

Pricing and Cost Advice

"The product has moderate pricing."

"The pricing is good. I have not had any customers that have complained about the price."

"The product is expensive."

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is a cheap solution."

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"The solution is cost-effective. Workspace ONE Intelligence is neither cheap nor expensive. Compared to other tools like MaaS360, it Is more cost-effective. It costs about seven dollars per user, while others might cost $50—a big difference."

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909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

17%

Outsourcing Company

13%

Educational Organization

12%

Financial Services Firm

Construction Company

14%

Manufacturing Company

14%

Comms Service Provider

11%

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

No data available

Questions from the Community

What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

See all answers

What is your primary use case for AWS Auto Scaling?

My main use case for AWS Auto Scaling is automatically scaling EC2 instances behind a load balancer based on traffic, CPU, and memory usage, as well as custom CloudWatch metrics. I also use it with...

See all answers

What is your experience regarding pricing and costs for Workspace ONE Intelligence?

Workspace ONE Intelligence comes under a separate cost when purchasing UEM. There is price sensitivity in India compared to other solutions currently occupying the AirWatch, so pricing needs to be ...

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What needs improvement with Workspace ONE Intelligence?

See all answers

What advice do you have for others considering Workspace ONE Intelligence?

My advice to someone considering Workspace ONE Intelligence, who has a similar workflow to mine, is to start small and not attempt a big bang approach. Focus on outcomes, not just features, invest ...

See all answers

Comparisons

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Compared 13% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 7% of the time

Snyk vs AWS Auto Scaling

Compared 6% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 5% of the time

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New Relic vs Workspace ONE Intelligence

Compared 21% of the time

Splunk AppDynamics vs Workspace ONE Intelligence

Compared 20% of the time

Epsagon vs Workspace ONE Intelligence

Compared 13% of the time

Dynatrace vs Workspace ONE Intelligence

Compared 8% of the time

POWERHOUSE Application Performance Monitoring vs Workspace ONE Intelligence

Compared 8% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Download Workspace ONE Intelligence product report

Also Known As

AWS Auto-Scaling

Apteligent, Crittercism

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

Amazon Web Services (AWS)

Workspace ONE Intelligence provides comprehensive insights and automation capabilities. It offers advanced analytics to streamline operations and enhance productivity through contextual intelligence and automated workflows, making it an ideal choice for businesses seeking to optimize resource use.

Focusing on data-driven decisions, Workspace ONE Intelligence delivers crucial analytics that improve security, compliance, and operational efficiency. Businesses leverage its powerful tools to automate processes and gain visibility into their IT environments. This platform enables companies to harness data effectively, leading to improved decision-making and resource allocation.

What are the standout features of Workspace ONE Intelligence?

Automation Workflows: Simplifies repetitive tasks, enhancing productivity.
Unified Data Aggregation: Provides a consolidated view of data across devices and applications.
Advanced Analytics: Delivers actionable insights into device performance and security risks.

What benefits and ROI can users expect when reviewing?

Increased Efficiency: Automation reduces manual overhead, saving time.
Enhanced Security: Comprehensive analytics identify potential threats early.
Cost Savings: Streamlined processes result in more effective resource allocation.

In finance, Workspace ONE Intelligence is used to manage sensitive client data securely, while in healthcare, it ensures compliance and seamless operation of medical devices. Retailers use it to optimize inventory and improve customer experiences through data-driven insights.

Omnissa

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

AT&T, Bloomberg, CNN, Experian, Fox, JC Penny, Urban Outfitters, Nokia, Lutron, NASCAR, T-Mobile, Urban Engines, Microsoft, Lego

Buyer's Guide

AWS Auto Scaling vs. Workspace ONE Intelligence

August 2026

Free Report: AWS Auto Scaling vs. Workspace ONE Intelligence

Find out what your peers are saying about AWS Auto Scaling vs. Workspace ONE Intelligence and other solutions. Updated: August 2026.

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