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 #22 with an average rating of 7.3, while Splunk is ranked #3 with an average rating of 8.0. Amazon Web Services (AWS) holds a 1.1% 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.

Amazon OpenSearch Service

Read 13 Amazon OpenSearch Service reviews

7,500 Views
3,600 Comparison Views

92% willing to recommend

Splunk AppDynamics

Read 271 Splunk AppDynamics reviews

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

Buyer's Guide

Amazon OpenSearch Service 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:

Categories and Ranking

Amazon OpenSearch Service

Ranking in Application Performance Monitoring (APM) and Observability

22nd

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

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 Amazon OpenSearch Service is 1.1%, down from 2.0% 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%
Amazon OpenSearch Service	1.1%
Other	94.6%

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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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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Quotes from Members

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

Pros

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

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

"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."

"AWS has now made our life easy."

"The stability of the product is good."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

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

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

More Amazon OpenSearch Service pros

"The solution helps us provide a better user experience to our customers."

"I like that AppDynamics allows every organization to have what they want to see, like for my organization, we're able to customize the dashboard to show us details of what we want to see in our transactions."

"The most valuable feature of AppDynamics is that we can see all query times, and if a particular query is taking too much time, we can alert it."

"The overall impact the tool has had in our environment has been very positive."

"It gives a complete, end-to-end visualization of an environment, making it easier to analyze any issue in production compared to other APM tools."

"The features, ease of use, and customer service provided by AppDynamics was what tipped the scale towards them."

"AppDynamics' most valuable features are the response time of the business transaction modules, the ability to monitor multiple services, and testing and developing environments."

"The dashboards are very well-defined."

More Splunk AppDynamics pros

Cons

"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."

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

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

"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."

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

"They can enhance data visualization."

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

"As a user, lower prices or reasonable pricing is always better."

More Amazon OpenSearch Service cons

"We miss more information for tweaks at the OS level and resource usage."

"Sometimes, it can be a little bit too crowded; all the screens."

"Customer service is 3/10."

"I am a monitoring administrator and one of the biggest issues is that it doesn't have a large environment for support."

"Scalability is an issue. We are pushing the product to its limits on our current hardware allocation, so it's hard to fault the product for that."

"AppDynamics Database Monitoring could improve the price of the solution, it is costly."

"AppD is really cool and a unified solution for both APM and APM centric Analytics side. We can show almost all business data within the APM context from the end-user perspetive. But this process is a little bit manual. If they catch and map business journeys based on customer interaction on the browser automatically, it should be really fine."

"The synthetic scripting for end-user monitoring could be a little bit broader. Instead of using just Python, they can include a few other languages so that not everyone has to jump on the bandwagon for Python and do Selenium scripting. They can open up that a bit to make it simpler for people to do the scripting."

More Splunk AppDynamics cons

Pricing and Cost Advice

"You only pay for what you use."

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

"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."

"Yearly payments have to be made toward the licensing costs of the solution. The solution has no additional costs apart from the licensing costs."

"AppDynamics Database Monitoring requires a license for database monitoring and other features, while Dynatrace provides monitoring and other features out of the box without additional costs. Sometimes this makes it more challenging to pitch AppDynamics Database Monitoring to customers, especially because you need to buy a separate license. As an implementer, I have yet to learn about the pricing for AppDynamics Database Monitoring. Pricing is taken care of by the sales team."

"There is an annual cost for the use of this solution."

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

"Purchasing the product through the AWS Marketplace was good."

"The license fee for Application Analytics is in the range of 2.5 million over three years, with extra fees for service contingencies."

"The solution has a high cost."

"The pricing is quite comparable to similar solutions in the market. All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage."

More Splunk AppDynamics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

10%

Government

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	7
Midsize Enterprise	2
Large Enterprise	4

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 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?

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

Grafana Loki vs Amazon OpenSearch Service

Compared 8% of the time

Xapien vs Amazon OpenSearch Service

Compared 5% of the time

Azure AI Search vs Amazon OpenSearch Service

Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 5% of the time

Datadog vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service 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

Amazon OpenSearch Service

June 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Splunk AppDynamics

May 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

June 2026

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