Amazon OpenSearch Service vs Splunk AppDynamics comparison

Why PeerSpot?

Amazon Web Services (AWS) and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #21 with an average rating of 7.8, while Splunk is ranked #3 with an average rating of 8.1. Amazon Web Services (AWS) holds a 0.9% mindshare in APM, compared to Splunk’s 4.6% 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

8,392 Views
4,028 Comparison Views

92% willing to recommend

Splunk AppDynamics

Read 275 Splunk AppDynamics reviews

37,017 Views
28,133 Comparison Views

91% willing to recommend

Amazon OpenSearch Service

Splunk AppDynamics

Comparison Buyer's Guide

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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: September 2026).

Buyer's Guide

Amazon OpenSearch Service vs. Splunk AppDynamics

September 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

21st

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (15th), 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

275

Ranking in other categories

IT Infrastructure Monitoring (4th), IT Operations Analytics (2nd), Mobile APM (1st), Container Monitoring (1st)

Mindshare comparison

As of September 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.0% compared to the previous year. The mindshare of Splunk AppDynamics is 4.6%, up from 4.2% 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	4.6%
Amazon OpenSearch Service	0.9%
Other	94.5%

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.

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

Quotes from Members

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

Pros

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

"In case there is a failure, Elastic manages everything well, and there no major downtime."

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

"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."

"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."

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

"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."

More Amazon OpenSearch Service pros

"AppDynamics gives synopsis information so we're able to at least find out where exactly the problem is."

"This solution has helped us to reduce the number of incidents in our Production environment and improve the performance of applications."

"The solution offers great visibility that allows you to track where errors originated."

"Splunk AppDynamics' AI-powered anomaly detection and root cause analysis are very effective in diagnosing performance issues, allowing me to quickly identify blocking on the database, track slow SQL queries, and understand what is going on."

"AppDynamics includes a service application map of the call load, response, environment health index, and transactions that are dynamically rated on one easy-to-use page."

"AppDynamics Browser Real-User Monitoring provides smooth connectivity to different applications."

"Splunk AppDynamics tells us what the top 10 queries are which are actually contributing to the load on the database, and it gives us the view of what exactly the query does, whether it uses more DB CPU or is contributing to the roll-up contention on the database."

"After we implemented this solution, we can easily determine the root cause of issues."

More Splunk AppDynamics pros

Cons

"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."

"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 configuration should be more straightforward because we had to select a lot of things."

"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."

"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."

"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."

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

More Amazon OpenSearch Service cons

"An area for improvement in AppDynamics Server Monitoring is integration; in particular, it needs a better way to integrate with custom applications such as Siebel CRM. Right now, it's challenging to integrate AppDynamics Server Monitoring with Siebel CRM because it sometimes gives an error and cannot integrate properly."

"In the transaction naming features, for business transactions, we are not always able to tie a business transaction to a real user transaction."

"The application monitoring needs improvement. It needs to be easier for someone who isn't a proficient developer."

"Customer service is 3/10."

"We have not had stability issues for end-users, but for admins specifically, the UI can be slow, since they can see all applications/nodes/etc."

"I have found it sometimes a bit difficult to trace the transaction all the way through to the application."

"We’re having difficulty with the Apache web agent. It seems to be consuming too many resources of AppDynamics."

"Sometimes you get anomalies which are hard to explain and sometimes data seems to disappear, but except for that it is generally pretty good."

More Splunk AppDynamics cons

Pricing and Cost Advice

"You only pay for what you use."

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

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

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

"We buy the platform's yearly subscription."

"The pricing for AppDynamics is expensive, but it is possible to negotiate special pricing through bids."

"We do not have any issues with the price."

"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."

"The product is a bit expensive compared to other tools."

"We have a license-based solution. That means you need a license for each server you monitor."

"The pricing for AppDynamics Server Monitoring in Africa and the Middle East is too expensive, so it's very hard to sell it to customers. If there could be different pricing or package for the region, that would be great. My company pays for the license of AppDynamics Server Monitoring on a per-agent, per-server basis. It's $700 to $1000 per server, and it's paid annually. My company is on a subscription model for the solution. On a scale of one to five, where one is expensive and five is cheap, my rating for the price of AppDynamics Server Monitoring is a two."

"AppDynamics is more expensive than competitors."

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

Outsourcing Company

Financial Services Firm

21%

Outsourcing Company

10%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	64
Midsize Enterprise	37
Large Enterprise	206

Questions from the Community

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

What is your primary use case for Amazon OpenSearch Service?

Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...

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 Database Monitoring?

The price is not cheap, however, considering the benefits and the price ratio, I would rate it nine out of ten.

See all answers

What needs improvement with AppDynamics Database Monitoring?

Based on my experience, some databases like Couchbase, PostgreSQL, and MongoDB require a little bit of enhancement as they are newer and not as widely used as other databases. The limitations are o...

See all answers

Comparisons

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Compared 6% of the time

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Compared 6% of the time

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Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 4% of the time

Datadog vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Dynatrace vs Splunk AppDynamics

Compared 5% of the time

New Relic vs Splunk AppDynamics

Compared 4% of the time

Datadog vs Splunk AppDynamics

Compared 3% of the time

Splunk Enterprise Security vs Splunk AppDynamics

Compared 3% of the time

BMC TrueSight vs Splunk AppDynamics

Compared 3% of the time

More Splunk AppDynamics Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

September 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Splunk AppDynamics

August 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

September 2026

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