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 3.8% 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

1,113 Views
1,046 Comparison Views

91% willing to recommend

Splunk AppDynamics

Read 265 Splunk AppDynamics reviews

16,401 Views
12,301 Comparison Views

91% willing to recommend

AWS Auto Scaling

Splunk AppDynamics

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

AppDynamics and AWS Auto Scaling both compete in the IT operations scaling and monitoring category. AppDynamics has the upper hand in providing transaction-level visibility and deep application insights, while AWS Auto Scaling shines with its automatic EC2 instance adjustments and ease of vertical scaling within AWS.

Features: AppDynamics offers dynamic baselining, end-to-end transaction tracing, and transaction snapshots for performance insights. AWS Auto Scaling provides features like automatic instance scaling, scalable infrastructure through EC2, and integration with AWS services for seamless vertical scaling.

Room for Improvement: AppDynamics could enhance its dashboarding, offer a more intuitive interface, and support emerging technologies like Kubernetes. AWS Auto Scaling might improve its configuration process and incorporate AI-driven cost management tools for better resource control.

Ease of Deployment and Customer Service: AppDynamics requires more manual setup but supports on-premises and hybrid environments, while AWS Auto Scaling is simpler to deploy within AWS's cloud ecosystem. AppDynamics offers comprehensive technical support, whereas AWS provides responsive assistance through its extensive resources.

Pricing and ROI: AppDynamics is expensive due to its complex licensing model but justifies the cost with significant ROI in application performance. AWS Auto Scaling offers competitive pricing with a pay-as-you-use model, making it cost-effective for AWS-reliant businesses with scaling needs.

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

Buyer's Guide

AWS Auto Scaling vs. Splunk AppDynamics

March 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

5.9

AppDynamics boosts performance, reduces resource use, and enhances user satisfaction, resulting in cost savings and improved operations.

No quotes available

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

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

7.0

AppDynamics's customer service is praised for promptness and expertise, though some note improvements needed in complex issue resolution.

AWS support is very good.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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

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

7.2

AppDynamics is scalable, but some users face challenges with larger deployments due to performance issues and licensing constraints.

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

Users find Splunk AppDynamics generally stable with high performance ratings, though some report resource issues and occasional glitches.

No quotes available

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

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 struggles with UI complexity, support delays, integration issues, high costs, and requires better AI and user-friendly reporting.

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

AI could provide more insights for annual or half-yearly reports and forecast future changes in the asset landscape.

Ahmed-KASSAB

Senior Delivery Manager at GE Vernova

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

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.

Splunk AppDynamics is costly with variable pricing influenced by complex licensing, offering value for enterprises despite challenges.

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

The resource team finds the best prices, ensuring that Splunk AppDynamics is an acceptable option for the end user.

Ahmed-KASSAB

Senior Delivery Manager at GE Vernova

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 offers real-time monitoring, end-to-end visibility, and proactive performance management, enhancing business resilience and reducing downtime.

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

6.6

Number of Reviews

265

Ranking in other categories

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

Mindshare comparison

As of March 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 3.8%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Splunk AppDynamics	3.8%
AWS Auto Scaling	0.4%
Other	95.8%

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

Shamim Alsharif

Performance Test Engineer at TANIM CONSULTING, LLC

Real-time monitoring has improved our banking API performance and supports detailed business transaction analysis

The real-time monitoring is what we can see for anything that is needed in terms of CPU, memory, or the connections or the sessions related. It's real-time monitoring of performance of each of the components, which is what we need and use all the time. It's highly effective, I would say. Infrastructure visibility, transaction monitoring, to check the actual user experience in terms of the response time, MRT and all those things. We do the component monitoring like the API performance and the connections and all those things, but we also do the business process monitoring and business transaction monitoring.

Read full review

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Top Industries

By visitors reading reviews

Construction Company

13%

Comms Service Provider

Educational Organization

Manufacturing Company

Financial Services Firm

24%

Manufacturing Company

Computer Software 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	56
Midsize Enterprise	36
Large Enterprise	200

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

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Compared 13% of the time

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Compared 8% of the time

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Compared 6% of the time

New Relic vs Splunk AppDynamics

Compared 5% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 4% of the time

PRTG Network Monitor vs Splunk AppDynamics

Compared 3% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download AWS Auto Scaling product report

Buyer's Guide

Splunk AppDynamics

March 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

March 2026

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