Amazon OpenSearch Service 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 #23 with an average rating of 7.3, while Splunk is ranked #3 with an average rating of 8.1. Amazon Web Services (AWS) holds a 1.4% mindshare in APM, compared to Splunk’s 3.8% 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.

Amazon OpenSearch Service

Read 13 Amazon OpenSearch Service reviews

5,735 Views
2,753 Comparison Views

92% willing to recommend

Splunk AppDynamics

Read 264 Splunk AppDynamics reviews

16,401 Views
12,301 Comparison Views

91% willing to recommend

Amazon OpenSearch Service

Splunk AppDynamics

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Executive SummaryUpdated on Feb 22, 2026

Splunk AppDynamics and Amazon OpenSearch Service are significant competitors in data monitoring and analytics, with Splunk AppDynamics leading in application performance insights due to its detailed monitoring capabilities, while Amazon OpenSearch Service offers superior integration and speed for large data sets.

Features: Splunk AppDynamics excels with its comprehensive application performance insights, detailed transaction tracking, and stack trace visibility. It enables real-time problem diagnosis and offers end-to-end monitoring for applications. Amazon OpenSearch Service is known for its seamless integration, fast searching of large data sets, and data streaming analysis.

Room for Improvement: Splunk AppDynamics users seek simplified agent management, integration with performance testing tools, and improved network monitoring capabilities. They also desire a more straightforward license model. Amazon OpenSearch Service users find a need for better auto-scaling support, customizable configurations, and improved documentation for integrations and query handling.

Ease of Deployment and Customer Service: Splunk AppDynamics provides flexible deployment options across various environments but involves significant configuration effort, leading to varying customer ratings. Its customer service is highly praised for proactive support. Amazon OpenSearch Service, being purely cloud-based, simplifies deployment but lacks the hybrid flexibility of Splunk AppDynamics. It benefits from swift assistance typical of AWS services.

Pricing and ROI: Splunk AppDynamics is priced across a wide range, reflecting its enterprise capabilities. While some users find its cost high, the investment often results in substantial returns in productivity and troubleshooting. Amazon OpenSearch Service is considered more cost-effective with a pay-as-you-go model, though this can lead to unexpectedly high charges. Both demonstrate strong ROI, with Splunk AppDynamics highlighted for aiding faster troubleshooting and better customer experiences.

To learn more, read our detailed Amazon OpenSearch Service vs. Splunk AppDynamics Report (Updated: March 2026).

Buyer's Guide

Amazon OpenSearch Service 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:

Categories and Ranking

Amazon OpenSearch Service

Ranking in Application Performance Monitoring (APM) and Observability

23rd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (19th), Search as a Service (3rd)

Splunk AppDynamics

Ranking in Application Performance Monitoring (APM) and Observability

3rd

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

264

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 Amazon OpenSearch Service is 1.4%, down from 1.5% 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%
Amazon OpenSearch Service	1.4%
Other	94.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Md. Shahariar Hossen

Senior Software Engineer at Cefalo

Event tracking has become smoother and data analytics provide clear insights for user actions

Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.

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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

Quotes from Members

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

Pros

"The stability of the product is good."

"It's a good log management platform. In terms of infrastructure management, it's good."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"The initial set up is very easy...We really appreciate Amazon!"

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"The business analytics capabilities are the most important feature it provides."

"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."

More Amazon OpenSearch Service pros

"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."

"The most valuable feature is the ability to take a report, and in particular, a visual, and link it to actual application performance and then the consequences. This means you can show how an incident or action has an effect on the business."

"The initial setup is simple."

"The most valuable feature of AppDynamics is that you can easily determine the load on the application."

"The most valuable features of AppDynamics Database Monitoring are you can configure the performance and see in real-time what is exactly happening with the applications. Additionally, the dashboards are good."

"The features of Splunk AppDynamics that I appreciate most are the business processes, which benefit my organization by providing a bigger picture, not only of their own systems, however, how it influences other parts of the environment and how we are being influenced by other parts."

"The real-time feature provides me with insights into what's happening."

"We used AppDynamics to identify gaps and bottlenecks in the software."

More Splunk AppDynamics pros

Cons

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."

"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."

"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."

"One improvement I would like to see is support for auto-scaling."

More Amazon OpenSearch Service cons

"The challenge in the installation is that you have to configure a lot of things manually. The way you install and configure it is not straightforward."

"The integration ability of AppDynamics with other performance testing tools is an area with shortcomings where improvements are required."

"While I am not expecting it in the next release, I would want more centralized management of the agent in the platform and better support."

"AppDynamics Database Monitoring would be a better product if it could support new technology, such as cloud technology. Even Dynatrace lacks support for newer technologies."

"The training on the dashboards that is provided could be a little bit better, as could the use cases. They should have some good examples out there. As it is right now, I had to scour YouTube to find some stuff."

"Things are being done differently in the industry now, and many of these problems are being solved with cloud databases."

"While it is scalable, it could be better."

"An area that has room for improvement on the CR and ERP would be the addition of monitoring of the internal solution. For example, you can monitor the day-to-day and everything in the transactions with AppDynamics, but there's also a lot going on in the kernel itself that you cannot monitor. The automation needs to improve as well. As it stands, a lot of customization needs to happen before you can use AppDynamics."

More Splunk AppDynamics cons

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"The solution is not expensive, but priced averagely, I will say."

"There is a community edition available and the price of the commercial offering is reasonable."

"We have purchased a few licenses for AppDynamics Database Monitoring and the price is high."

"My understanding is that the price of this solution is quite high, compared to other products."

"The pricing model for AppDynamics could be better. You have to subscribe to a yearly or a three-year licensing, which isn't very handy. The solution is one of the most expensive in the market today."

"You are required to purchase licenses whether you use it or not. It is not pay-as-you-use."

"Because it is priced per JVM, the price can increase pretty fast, into the millions. We have had challenges because we had to justify the price to our clients, as well, when we are putting in certain tools."

"I believe there was probably an extra charge whenever I wanted to contact the support team."

"AppDynamics is one of the most expensive solutions on the market."

"AppDynamics Database Monitoring is expensive. I rate it a seven to eight out of ten."

More Splunk AppDynamics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

Government

Financial Services Firm

25%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	56
Midsize Enterprise	36
Large Enterprise	198

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

See all answers

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...

See all answers

What needs improvement with Amazon OpenSearch Service?

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

Grafana Loki vs Amazon OpenSearch Service

Compared 13% of the time

Xapien vs Amazon OpenSearch Service

Compared 6% of the time

Datadog vs Amazon OpenSearch Service

Compared 5% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Dynatrace vs Splunk AppDynamics

Compared 9% of the time

Datadog vs Splunk AppDynamics

Compared 6% of the time

New Relic vs Splunk AppDynamics

Compared 6% 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

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

March 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Splunk AppDynamics

February 2026

Download Splunk AppDynamics product report

Also Known As

Amazon Elasticsearch Service

No data available

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

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

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

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

Amazon OpenSearch Service vs. Splunk AppDynamics

March 2026

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