AWS Auto Scaling vs Splunk AppDynamics comparison

Amazon Web Services (AWS) and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.8, while Splunk is ranked #3 with an average rating of 8.1. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to Splunk’s 3.7% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 91% of Splunk users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

963 Views
915 Comparison Views

91% willing to recommend

Splunk AppDynamics

Read 260 Splunk AppDynamics reviews

15,142 Views
11,357 Comparison Views

91% willing to recommend

AWS Auto Scaling

Splunk AppDynamics

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 23, 2025

Splunk AppDynamics and AWS Auto Scaling compete in application and infrastructure monitoring. Splunk AppDynamics has the upper hand in providing detailed application insights, while AWS Auto Scaling excels at managing traffic and instances automatically.

Features: Splunk AppDynamics offers business transaction tracking, code-level deep dives, and JVM monitoring, valuable for identifying complex issues and enhancing user experiences. AWS Auto Scaling provides automatic scaling of instances based on metrics, health checks for self-healing, and seamless integration with CloudWatch.

Room for Improvement: Splunk AppDynamics could improve integration with other tools, network monitoring, and enhance support for modern technologies. AWS Auto Scaling could simplify configuration, offer better pricing models, and improve documentation and training resources.

Ease of Deployment and Customer Service: Splunk AppDynamics supports on-premises, hybrid, and private cloud deployments with generally positive technical support reviews. AWS Auto Scaling focuses on the public cloud, providing excellent customer service with quick response times.

Pricing and ROI: Splunk AppDynamics is recognized for its high costs but offers significant ROI through performance improvements. AWS Auto Scaling provides a pay-as-you-use model, which can be cost-effective, though expenses may increase depending on scaling needs.

To learn more, read our detailed AWS Auto Scaling vs. Splunk AppDynamics Report (Updated: February 2026).

Buyer's Guide

AWS Auto Scaling vs. Splunk AppDynamics

February 2026

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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:

ROI

Sentiment score

1.0

AWS Auto Scaling optimizes costs and delivers significant ROI, reducing expenses for businesses and proving its financial value.

Sentiment score

6.4

Organizations highly valued Splunk AppDynamics for enhancing performance, client satisfaction, productivity, and delivering significant time and cost savings.

No quotes available

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Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.

DevendraKumar1

Technology lead at Infosys

According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.

Konstantinos Michailidis

Digital Performance Tester at Amdocs

For more quotes and insights, download the Splunk AppDynamics report

Customer Service

Sentiment score

4.4

Users praise AWS Auto Scaling's customer service for being efficient and helpful, despite occasional slow response times.

Sentiment score

7.1

Splunk AppDynamics offers responsive customer service, expert technical support, and excels in monitoring, despite occasional delays in issue resolution.

AWS support is very good.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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AppDynamics is much more helpful.

Eduardo Gallardo

Director of Technical Part at NOS SGPS

We got a contact, an account manager, to work directly with for technical support.

NagadevanMuthusamy

Performance Engineer at a pharma/biotech company with 10,001+ employees

They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

For more quotes and insights, download the Splunk AppDynamics report

Scalability Issues

Sentiment score

7.2

AWS Auto Scaling offers easy, robust scalability for medium to large enterprises, efficiently handling user increases and traffic spikes.

Sentiment score

7.3

Splunk AppDynamics is scalable and user-friendly, but some users face challenges with cost and scaling in specific areas.

Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.

Mbula Mboma

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

For more quotes and insights, download the AWS Auto Scaling report

We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

I would rate the scalability of Splunk AppDynamics as a nine out of ten.

Konstantinos Michailidis

Digital Performance Tester at Amdocs

I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.

reviewer2756163

Development Operations Engineer at a retailer with 10,001+ employees

For more quotes and insights, download the Splunk AppDynamics report

Stability Issues

Sentiment score

5.9

AWS Auto Scaling is stable and reliable, though occasional scaling delays and server issues require effective deployment and management.

Sentiment score

7.8

Splunk AppDynamics is generally stable and reliable, with high ratings, minor glitches, and responsive support for rare issues.

No quotes available

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It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

Splunk AppDynamics is superior to any alternative, including Dynatrace.

DevendraKumar1

Technology lead at Infosys

For more quotes and insights, download the Splunk AppDynamics report

Room For Improvement

AWS Auto Scaling requires faster launches, better usability, improved documentation, enhanced security, automation, scalability, cost optimization, and clearer instructions.

Splunk AppDynamics needs simpler navigation, better integration, enhanced UI, reduced complexity, and improved support for new technologies.

This complexity led me to migrate to CloudFormation, which simplifies the deployment process.

Mbula Mboma

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

It requires a downtime before deploying the Auto Scaling group.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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.

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

For more quotes and insights, download the AWS Auto Scaling report

Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.

reviewer2674446

Senior Principal, Enterprise Architect at a computer software company with 201-500 employees

If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.

Muhammad Zeeshan Siddiqui

Head of Technology and Services at arwentech

A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.

Eduardo Gallardo

Director of Technical Part at NOS SGPS

For more quotes and insights, download the Splunk AppDynamics report

Setup Cost

AWS Auto Scaling costs vary; perceived as reasonable or expensive, depending on scaling extent, application needs, and usage.

Enterprise users find Splunk AppDynamics costly and complex, with licenses based on server count and features, justifying high costs.

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

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

For more quotes and insights, download the AWS Auto Scaling report

We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.

reviewer2756163

Development Operations Engineer at a retailer with 10,001+ employees

Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.

Per Eklund

Manager, System Scom at Handelsbanken

Customers have to pay a premium price, however, they receive considerable value from the product.

Muhammad Zeeshan Siddiqui

Head of Technology and Services at arwentech

For more quotes and insights, download the Splunk AppDynamics report

Valuable Features

AWS Auto Scaling offers automated scaling, integrates with CloudWatch, supports Kubernetes, and enhances performance through efficient resource management.

Splunk AppDynamics provides comprehensive application monitoring with stack trace analysis, real-time insights, and user-friendly, customizable dashboards for efficiency.

During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Its automatic scaling capabilities are very useful.

Mbula Mboma

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

For more quotes and insights, download the AWS Auto Scaling report

We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.

Gyanesh Rahatekar

Back office at Reliance Industries Ltd

The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.

Mohammed Hassan

Regional Director at iSecureMind

This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.

DevendraKumar1

Technology lead at Infosys

For more quotes and insights, download the Splunk AppDynamics report

Categories and Ranking

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

15th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Splunk AppDynamics

Ranking in Application Performance Monitoring (APM) and Observability

3rd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

260

Ranking in other categories

IT Infrastructure Monitoring (6th), IT Operations Analytics (2nd), Mobile APM (1st), Container Monitoring (3rd)

Mindshare comparison

As of February 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 Splunk AppDynamics is 3.7%, down from 5.3% 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 (%)
Splunk AppDynamics	3.7%
AWS Auto Scaling	0.4%
Other	95.9%

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.

Read full review

DevendraKumar1

Technology lead at Infosys

Has enabled us to detect issues instantly through alerts and monitor every service from a single dashboard

Splunk requires significantly more improvements compared to Splunk AppDynamics, specifically regarding the licensing aspect. Splunk renews licenses every six months, which is inconvenient. It would be better to have a one-year license to avoid needing to update keys constantly, which can only occur on weekends, making it a burdensome task. Although Splunk is better for certain use cases, Splunk AppDynamics is broader in functionality. Specifically, I want enhancements related to creating dashboards not only for logs or minor services but also for configuration levels, allowing us to check configurations immediately without manually opening the entire code when exceptions arise—a feature I wish to see improved in Splunk, although it may not be necessary for Splunk AppDynamics.

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

25%

Computer Software Company

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	55
Midsize Enterprise	36
Large Enterprise	195

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

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

See all answers

What do you like most about AppDynamics?

The solution saves time and cost.

See all answers

What is your experience regarding pricing and costs for AppDynamics?

I would rate the pricing an eight out of ten. The solution is highly expensive. Our company pays for the solution on a yearly basis, if we don't add new modules or features to the license, we need ...

See all answers

Comparisons

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Compared 28% of the time

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Compared 21% of the time

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 20% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 16% of the time

OpenText SiteScope vs AWS Auto Scaling

Compared 15% of the time

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Dynatrace vs Splunk AppDynamics

Compared 10% of the time

New Relic vs Splunk AppDynamics

Compared 7% of the time

Datadog vs Splunk AppDynamics

Compared 6% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 5% of the time

PRTG Network Monitor vs Splunk AppDynamics

Compared 3% of the time

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

February 2026

Download AWS Auto Scaling product report

Buyer's Guide

Splunk AppDynamics

January 2026

Download Splunk AppDynamics 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)

Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.

Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.

What features make Splunk AppDynamics stand out?

End-to-End Transaction Tracking: Monitors entire user transactions for comprehensive visibility.
Real-Time Monitoring: Provides instant insights into system performance.
AI-Powered Anomaly Detection: Identifies anomalies with advanced machine learning techniques.
Code-Level Troubleshooting: Diagnoses issues at the code level for precise fixes.
Business Transaction Visibility: Offers detailed views into transaction flow across all system layers.

What benefits and ROI can users expect from Splunk AppDynamics?

Improved Application Performance: Enhances system efficiency and reliability.
Operational Efficiency: Streamlines monitoring and issue resolution processes.
Enhanced Business Resilience: Strengthens the ability to adapt to performance challenges.
Seamless User Experiences: Ensures uninterrupted service and user satisfaction.

Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.

Splunk

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Cisco, Sony, Nasdaq, Reserve Bank of New Zealand, Edmunds.com, Puma, Fox News, DirecTV, Pizza Hut, T-Systems, Cornell University, OpenTable, BITMARCK, Green Mountain Power, Care.com, Overstock, Paddy Power, eHarmony, Kraft, The Motley Fool, The Container Store, and more See more customers

Buyer's Guide

AWS Auto Scaling vs. Splunk AppDynamics

February 2026

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