AWS Auto Scaling vs Catchpoint comparison

Read 14 Catchpoint reviews

1,020 Views
614 Comparison Views

100% willing to recommend

AWS Auto Scaling

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 24, 2024

Catchpoint and AWS Auto Scaling both serve distinct purposes in IT performance and scalability. Catchpoint excels in performance monitoring, while AWS Auto Scaling focuses on automatic resource management for applications, making it more comprehensive for cloud infrastructure.

Features: Catchpoint offers extensive monitoring, detailed analytics, and real-time alerts. AWS Auto Scaling provides automatic resource scaling, integration with AWS services, and ease of use.

Room for Improvement: Catchpoint could improve visual reporting tools, customer support response times, and the complexity of setup configurations. AWS Auto Scaling users suggest better documentation, more granular control over scaling policies, and enhancements in user control and guidance.

Ease of Deployment and Customer Service: Catchpoint is straightforward to deploy with comprehensive customer service but faces critiques on setup complexity. AWS Auto Scaling integrates seamlessly with AWS environments and has reliable support, though its initial setup documentation could be better.

Pricing and ROI: Catchpoint's setup cost is high but provides significant ROI with detailed insights. AWS Auto Scaling, using AWS's pay-as-you-go model, is seen as cost-efficient with predictable expenses.

To learn more, read our detailed AWS Auto Scaling vs. Catchpoint Report (Updated: April 2025).

AWS Auto Scaling vs. Catchpoint

Download the complete report

Helped 848,270 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

15th

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Catchpoint

Ranking in Application Performance Monitoring (APM) and Observability

40th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (59th), Cloud Monitoring Software (31st), Digital Experience Monitoring (DEM) (9th)

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.1%, up from 0.1% compared to the previous year. The mindshare of Catchpoint is 0.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

Boosts deployment efficiency with seamless automatic scaling capabilities

My primary use case for Auto Scaling is mainly to deploy applications at scale Auto Scaling has made the deployment of applications more efficient, allowing us to manage traffic and maintain performance as user counts increase. Auto Scaling is a cool feature that works well and its automatic…

Read full review

Carl Funk

Senior Manager at a training & coaching company with 10,001+ employees

The UI is well designed, so it's easy to get the visibility you want.

There's still too much manual involvement in getting customized test configurations out there. It's good, but it still takes a lot of effort. In other words, it's when you need to configure it to collect a specific variable and that kind of thing. The other issue is the cost. The more data you collect, the more expensive it becomes. You sell your organization by saying we can get this feature set, but then you have to walk that back because we'll need more money to run every test. This is something hard to get out in your initial scoping. You provide Catchpoint with a series of tests and get a cost estimate, not realizing all the data you might have to collect long term. That was a big deal for us because we partly switched on the promise of saving money.

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

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

"It helps us to reduce the cost."

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

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."

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

"The solution's monitoring effectively monitors our application and CPU utilization."

"Our internal business applications are hosted in AWS Auto Scaling."

"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."

More AWS Auto Scaling pros

"Catchpoint helped us establish that something is in a provider network, so we could tell our customers to check their internet provider because the traffic is not getting to us. You need to be gentle when you tell them that, but the fact that we could do it was crucial."

"Catchpoint provides a great amount of information."

"The drill-down feature of this product was very good. It allowed us to identify the exact page or area of the site that was causing our customers an issue."

"Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn."

"One of the features, the scatter plot, is very useful. It shows red dots wherever there are issues."

"We really need the API monitoring, as well as client side session monitoring, the global synthetic monitoring, to track the availability of the systems from the customer side."

"Catchpoint's customer service and support are valuable."

"The best feature in Catchpoint is the alert or the notification my company gets frequently, in particular, every five minutes. It's the notification you get whenever a respective market has an issue. There's also a dashboard in Catchpoint that shows the markets you support, so all the markets will be highlighted graphically in the dashboard whenever there's downtime that could affect you. If there's no issue for a specific market, it will be in green, so in this way, anybody would be able to understand which market has issues and which market has no issues through Catchpoint. The tool is very useful for monitoring activities."

More Catchpoint pros

Cons

"The solution's infrastructure scalability and elasticity could be improved."

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

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

"The product’s security features need improvement."

"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."

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

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

"In comparison to other public clouds, the product is costly."

More AWS Auto Scaling cons

"As part of the improvement, there are certain categories, like for the China market, where we face issues."

"The product could include global monitoring and predictive analytics to identify widespread issues and cyber threats."

"Catchpoint can be improved by focusing solely on network monitoring."

"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."

"if we need to do performance analysis, we have to click too many times. For example, if there is an issue that is caught by Catchpoint, we need to understand what the error is and at which step it failed, or which transaction that is impacted. To drill down, we have to click too many things to get the answer."

"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."

"We would like the script creation feature of this solution to be improved, as it currently requires a complicated manual process to update the scripts."

"As part of the improvement, there are certain categories, like for the China market, where we face issues."

More Catchpoint cons

Pricing and Cost Advice

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

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

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a cheap solution."

"AWS Auto Scaling's price is high."

"The product is expensive."

"The product has moderate pricing."

"The pricing is based on consumption and works on a point scale. For example, let's say I want to look at www.google.com, and I'm going to test it to see if it's there. It will bring back all this data that tells me how long it took to connect and how long it took to get the first byte. It will list all the resources on the page, showing that they all work and there are no broken links. It brings that data back. That test has an assigned point value depending on what you decide to extract from that test. If all I do is check to see whether it's available, it might be one point. I don't know the exact point values off-hand. This is just an example."

"The solution's pricing varies based on services and licensing models."

"The solution's pricing is comparable to the last tool we were using."

"In terms of licensing fees, I believe they were slightly higher."

"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

848,270 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Educational Organization

53%

Financial Services Firm

13%

Computer Software Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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

The pricing of Auto Scaling is medium range, neither high nor low.

What needs improvement with AWS Auto Scaling?

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. It requires a downtime ...

What do you like most about Catchpoint?

Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn.

What is your experience regarding pricing and costs for Catchpoint?

The solution's pricing varies based on services and licensing models. Clients typically see significant operational and cost efficiencies, with time savings estimated between 30% and 40%.

What needs improvement with Catchpoint?

As part of the improvement, there are certain categories, like for the China market, where we face issues. We are currently using an external tool, Splunk, for reporting. If we could receive simila...

OpenText SiteScope vs AWS Auto Scaling

Comparisons

Compared 100% of the time

More AWS Auto Scaling Competitors

Dynatrace vs Catchpoint

Compared 24% of the time

ThousandEyes vs Catchpoint

Compared 18% of the time

Datadog vs Catchpoint

Compared 12% of the time

New Relic vs Catchpoint

Compared 10% of the time

Splunk AppDynamics vs Catchpoint

Compared 7% of the time

More Catchpoint Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

Download Catchpoint product report

Also Known As

AWS Auto-Scaling

No data available

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)

Catchpoint is the Internet Resilience Company™. The top online retailers, Global2000, CDNs, cloud service providers, and xSPs in the world rely on Catchpoint to increase their resilience by catching any issues in the Internet Stack before they impact their business. Catchpoint’s Internet Performance Monitoring (IPM) suite offers synthetics, RUM, performance optimization, high fidelity data and flexible visualizations with advanced analytics. It leverages thousands of global vantage points (including inside wireless networks, BGP, backbone, last mile, endpoint, enterprise, ISPs, and more) to provide unparalleled observability into anything that impacts your customers, workforce, networks, website performance, applications, and APIs.

Learn more at: https://www.catchpoint.com/

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Information Not Available

AWS Auto Scaling vs. Catchpoint