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 #37 with an average rating of 8.5, while Splunk is ranked #3 with an average rating of 8.0. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Splunk’s 4.3% mindshare. Additionally, 92% 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

1,817 Views
1,744 Comparison Views

92% willing to recommend

Splunk AppDynamics

Read 271 Splunk AppDynamics reviews

27,116 Views
20,337 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: June 2026).

Buyer's Guide

AWS Auto Scaling vs. Splunk AppDynamics

June 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

5.1

AWS Auto Scaling optimizes costs and availability, achieving up to 30% savings by right-sizing and reducing unused capacity.

Sentiment score

5.5

Splunk AppDynamics offers high ROI by reducing MTTR, improving uptime, and enhancing productivity, performance monitoring, and customer satisfaction.

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

5.3

AWS Auto Scaling offers responsive, helpful support with high user ratings, though some desire faster response times.

Sentiment score

6.9

Splunk AppDynamics provides excellent customer service with responsive support, though some users desire faster responses for complex issues.

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

It dives deep into questions, leading to effective solutions, often making it feel that a human is resolving issues at the back end.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

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

For more quotes and insights, download the Splunk AppDynamics report

Scalability Issues

Sentiment score

7.9

AWS Auto Scaling is praised for seamless scalability, ease of integration, and handling diverse needs during high traffic.

Sentiment score

7.2

Splunk AppDynamics generally scales well, though costs and performance issues can arise with larger installations, especially outside cloud.

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

Our operational efficiency increases multifold, and service delivery has contributed to revenue growth and business expansion.

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

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

For more quotes and insights, download the Splunk AppDynamics report

Stability Issues

Sentiment score

6.8

AWS Auto Scaling is reliable with minor issues, earning stability ratings mostly between nine and ten out of ten.

Sentiment score

7.8

Splunk AppDynamics offers reliable performance with occasional issues, frequent updates, and enhanced satisfaction due to SaaS model transitions.

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 needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.

Splunk AppDynamics needs UI improvements, better cloud integration, enhanced database monitoring, and a unified licensing model for efficiency.

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

Functionality-wise, I would like to see more cognitive solutions in Splunk AppDynamics, ideally with a single agent that can implement policies and provide predictive insights regarding application performance degradation during peak times.

Rajkumar ReghuVarma

Technology Architect at a tech vendor with 1,001-5,000 employees

For more quotes and insights, download the Splunk AppDynamics report

Setup Cost

AWS Auto Scaling pricing varies widely, with costs ranging from high to reasonable based on usage and application needs.

Enterprise users view Splunk AppDynamics as costly but justified, requiring careful budgeting and understanding of licensing complexities.

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 ensures efficient, flexible scaling with integration, minimal downtime, cost-effectiveness, and enhanced reliability for growing environments.

Splunk AppDynamics enhances performance monitoring with transaction tracing, anomaly detection, and seamless integration for efficient troubleshooting and optimization.

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 Integrated Solutions

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

37th

Average Rating

8.8

Reviews Sentiment

6.6

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

271

Ranking in other categories

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

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.1% compared to the previous year. The mindshare of Splunk AppDynamics is 4.3%, down from 4.8% 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	4.3%
AWS Auto Scaling	0.5%
Other	95.2%

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

Purnambica Kolavennu

Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)

Unified monitoring has transformed agriculture training data into secure, actionable insights

The foundational pillars of Splunk AppDynamics are very strong, and we do not have any issues. However, there are standardization challenges with limited visibility on some parameters when the system is integrated with multiple platforms because of differing technology stacks. Many applications function on different technologies, making fetching data difficult. We have discussed this with the business team, and they have said that they will offer a standardized application architecture through which APIs can be made more stable and accommodating. We have also requested a centralized monitoring framework and network, as many clients operate out of India and have requested centralized systems for real-time performance monitoring with just one click. Improvements and enhancements are happening weekly, and there are requests for regular training and orientation. I believe those things can be incorporated, but otherwise, everything is fantastic. For the agriculture ecosystem, there are many areas in remote or rural areas where connectivity constraints are huge. Limited internet bandwidth makes real-time monitoring difficult. We have requested the team to develop a hybrid model for real-time monitoring on lower bandwidth as well. Deploying offline-first or low-bandwidth solutions would strengthen synchronization. Additionally, mobile applications for rural environments would be beneficial. In data quality and governance, sometimes the system gives duplicate records, and there is inconsistency when checking data fields. It is not frequent, but we believe a complete solution can be developed here.

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Top Industries

By visitors reading reviews

Construction Company

17%

Financial Services Firm

11%

Educational Organization

Comms Service Provider

Financial Services Firm

25%

Manufacturing Company

Construction Company

Computer Software 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

By reviewers
Company Size	Count
Small Business	61
Midsize Enterprise	37
Large Enterprise	203

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

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 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

What needs improvement with AppDynamics?

The solution is available at an inflated cost.

See all answers

Comparisons

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 15% of the time

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 12% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 9% of the time

Snyk vs AWS Auto Scaling

Compared 6% of the time

Amazon CloudWatch vs AWS Auto Scaling

Compared 3% of the time

More AWS Auto Scaling Competitors

Dynatrace vs Splunk AppDynamics

Compared 6% of the time

Datadog vs Splunk AppDynamics

Compared 4% of the time

New Relic vs Splunk AppDynamics

Compared 4% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 3% of the time

BMC TrueSight vs Splunk AppDynamics

Compared 2% of the time

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

May 2026

Download AWS Auto Scaling product report

Buyer's Guide

Splunk AppDynamics

May 2026

Download Splunk AppDynamics product report

Also Known As

AWS Auto-Scaling

No data available

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)

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

June 2026

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