AWS Auto Scaling vs Honeycomb Enterprise comparison

Amazon Web Services (AWS) and Honeycomb.io are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.7, while Honeycomb.io is ranked #27 with an average rating of 8.0. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to Honeycomb.io’s 1.3% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Honeycomb.io users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

802 Views
754 Comparison Views

91% willing to recommend

Honeycomb Enterprise

Read 3 Honeycomb Enterprise reviews

2,750 Views
2,393 Comparison Views

100% willing to recommend

AWS Auto Scaling

Honeycomb Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 2, 2025

AWS Auto Scaling and Honeycomb Enterprise compete in cloud infrastructure optimization. While AWS Auto Scaling is favored for its pricing and support, Honeycomb Enterprise holds the upper hand due to superior features that justify its cost.

Features: AWS Auto Scaling provides dynamic resource allocation, predictive scaling, and load balancing for seamless resource management. Honeycomb Enterprise offers advanced analytics, anomaly detection, and enhanced observability.

Ease of Deployment and Customer Service: AWS Auto Scaling enables straightforward integration within the AWS ecosystem with reliable support. Honeycomb Enterprise comes with a robust setup and detailed documentation, although it requires a steeper learning curve.

Pricing and ROI: AWS Auto Scaling delivers a cost-effective solution with scalable pricing based on usage, ensuring strong ROI for AWS-focused companies. Honeycomb Enterprise, despite higher upfront costs, provides high ROI through valuable insights and performance enhancements.

To learn more, read our detailed AWS Auto Scaling vs. Honeycomb Enterprise Report (Updated: December 2025).

Buyer's Guide

AWS Auto Scaling vs. Honeycomb Enterprise

December 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

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

14th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Honeycomb Enterprise

Ranking in Application Performance Monitoring (APM) and Observability

27th

Average Rating

8.0

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

AI Code Assistants (11th), AI Observability (75th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.4%, up from 0.1% compared to the previous year. The mindshare of Honeycomb Enterprise is 1.3%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
AWS Auto Scaling	0.4%
Honeycomb Enterprise	1.3%
Other	98.3%

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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meetharoon

CEO at a computer software company with 10,001+ employees

Its pattern-matching and code transformation capabilities can be adapted for mass identification and remediation of vulnerable libraries

I asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code security focus can be a value-add, though the way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions. Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment. Anyone interested in learning more on this front or have queries, can get in touch with me for a consulting.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution helps optimize the cost of the AWS environment."

"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."

"The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling."

"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."

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

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

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

"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."

More AWS Auto Scaling pros

"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."

"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."

"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."

Cons

"AWS Auto Scaling's documentation could be better."

"It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time."

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

"The product’s pricing needs improvement."

"The product’s security features need improvement."

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

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

"We can have more auto scaling algorithms implemented in AWS Auto Scaling."

More AWS Auto Scaling cons

"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."

"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."

"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."

Pricing and Cost Advice

"AWS Auto Scaling is a cheap solution."

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

"AWS Auto Scaling is an expensive solution."

"The product is expensive."

"The product has moderate pricing."

"AWS Auto Scaling's price is high."

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

Information not available

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

17%

Financial Services Firm

12%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

No data available

Questions from the Community

What do you like most about AWS Auto Scaling?

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. W...

See all answers

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?

See all answers

What needs improvement with Honeycomb.io?

See all answers

What is your primary use case for Honeycomb.io?

Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries....

See all answers

What advice do you have for others considering Honeycomb.io?

We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failin...

See all answers

Comparisons

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Compared 30% of the time

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Compared 22% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 18% of the time

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Compared 15% of the time

Grafana vs Honeycomb Enterprise

Compared 9% of the time

Splunk Observability Cloud vs Honeycomb Enterprise

Compared 7% of the time

New Relic vs Honeycomb Enterprise

Compared 6% of the time

Datadog vs Honeycomb Enterprise

Compared 6% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download Honeycomb Enterprise product report

Also Known As

AWS Auto-Scaling

Grit

Overview

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

Honeycomb Enterprise is designed to optimize performance visibility, offering a robust platform for distributed system observability. It provides insights for complex data and aids in faster issue resolution, making it a valuable tool for IT professionals.

This tool is tailored for real-time data tracking and improving system performance efficiency. Enterprises benefit from its capacity to handle large-scale data, ensuring seamless operations and continuity. Honeycomb Enterprise helps teams to tackle data challenges head-on by delivering comprehensive analytics that enhance infrastructure reliability and performance metrics.

What Features Make Honeycomb Enterprise Stand Out?

High-Resolution Visibility: Enables detailed system monitoring to identify issues quickly.
Trace Analysis: Offers powerful tracing of distributed systems for in-depth insights.
Data Scalability: Manages extensive data sets effortlessly for better decision-making.
Real-Time Alerts: Provides instant alerts to preempt potential disruptions.
Collaboration Tools: Facilitates teamwork with integrated tools enhancing productivity.

What Benefits and ROI Can Users Expect?

Reduced Downtime: Faster detection and resolution of issues minimizes operational interruptions.
Cost Efficiency: Optimizes resources leading to lower operational costs.
Improved Decision Making: Enhanced data analytics lead to smarter business strategies.
Enhanced Productivity: Streamlined processes improve team efficiency and output quality.

In industries like finance, e-commerce, and technology, Honeycomb Enterprise implementations demonstrate its utility in managing complex data flows and optimizing system reliability. Businesses in these sectors leverage its capabilities to maintain high service standards and operational efficiency.

Honeycomb.io

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Clover Health, Eaze, Intercom, Fender

Buyer's Guide

AWS Auto Scaling vs. Honeycomb Enterprise

December 2025

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