Amazon OpenSearch Service vs New Relic comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Feb 22, 2026

New Relic and Amazon OpenSearch Service both compete in the application performance monitoring and data analytics fields. New Relic appears to have the upper hand in application performance monitoring due to its comprehensive features for real-time transaction monitoring and operational collaboration. However, Amazon OpenSearch excels in search and analytics, particularly for real-time log analysis within the AWS ecosystem.

Features: New Relic offers real-time monitoring, rich data insights, and easy installation, making it effective for troubleshooting and collaborative application performance management. It supports a wide range of plugins and integrates seamlessly into DevOps strategies. Amazon OpenSearch Service stands out with its integration with AWS, offering efficient query handling, scalability, and managed service flexibility, which is ideal for managing large datasets and creating detailed analytics dashboards.

Room for Improvement: New Relic users have highlighted issues with its pricing model, data privacy, and the complexity of its alerting features. There is also a demand for more granular control over monitoring parameters and enhanced mobile support. Amazon OpenSearch Service could improve in configuration flexibility, provide better real-time analytics dashboards, and address user concerns about its high costs for large data usage.

Ease of Deployment and Customer Service: New Relic supports hybrid and on-premises deployments, often praised for its responsive customer service and comprehensive educational resources. Its deployment is straightforward, favoring cloud environments. Amazon OpenSearch Service, integrated within AWS, enjoys seamless public cloud deployment and efficient customer support, although service experiences can vary based on scenario complexity.

Pricing and ROI: New Relic's pricing is considered high, particularly as data volumes increase, but users find value in its extensive features, leading to a high ROI through enhanced troubleshooting and reduced downtime. Amazon OpenSearch Service is economical for smaller data volumes with its pay-as-you-go model, offering savings on management overheads but becoming costly at larger scales, aligned with its AWS-native service advantages.

To learn more, read our detailed Amazon OpenSearch Service vs. New Relic Report (Updated: June 2026).

Amazon OpenSearch Service vs. New Relic

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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)

New Relic

Ranking in Application Performance Monitoring (APM) and Observability

4th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

175

Ranking in other categories

Network Monitoring Software (9th), IT Infrastructure Monitoring (9th), IT Operations Analytics (3rd), Mobile APM (2nd), Cloud Monitoring Software (3rd), AIOps (4th)

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 New Relic is 3.7%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
New Relic	3.7%
Amazon OpenSearch Service	1.1%
Other	95.2%

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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BasilJiji

System engineer at a retailer with 10,001+ employees

Real-time alerts have reduced server outage impact and support fast incident response

In the dashboard, if they could show a little more metrics regarding the application and related things, that would be how New Relic could be improved. Currently, there are things showing from the server level and application level, but it can be improved. That is what I felt. Regarding user interface, I do not feel much concern, but for some kind of issues when we are trying to get support from the New Relic team, their SLA seems to be long. They are taking seven to ten working days for resolving some kind of scenario or issue. That is a bit difficult for us. If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful. When it comes to the customer support part, I felt they need to be a little more improved on that part. The support overall is good, but they can improve. That is the reason I have given it eight out of ten.

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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

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

"This service already sorts data like vectors. They have classified the storage pre-defined."

"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."

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

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

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

"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"

"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."

More Amazon OpenSearch Service pros

"The most valuable features are the dashboards and tracing."

"Their technical support is pretty good and responsive. We have a real good relationship with them."

"The initial setup is straightforward. It is easy to track and easy to follow."

"We were able to integrate with the messaging tool, Slack, which meant that we got notifications whenever something was not quite right."

"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time."

"The New Relic toolset has become part of our SDLC -- reviewing the changes we made for impact to the production environment."

"It’s just so easy to set up and use with little training, the barrier to entry is extremely low and it adds a high-value."

"Saves so much time in debugging our code and environments."

More New Relic pros

Cons

"They can enhance data visualization."

"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."

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

"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."

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

"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."

"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."

More Amazon OpenSearch Service cons

"Raw transaction didn’t give us data that we needed."

"More instruments with .NET and asynchronous calls, and New Relic says it’s on the way."

"It would have been great had it provided thread-dump analysis and a few additional JVM-related stats."

"They should bring the pricing down to be more competitive."

"Alerting based on custom insights queries. If I set a custom query to give me some value, I want to be able to set an alert for that."

"Currently, we don't have a way to send alerts which is a real pain."

"Sometimes it’s too difficult to get more details about a problem. Sometimes it requires too much drilling down to find out about a problem for which we shouldn't need to do so much searching."

"There is a picture which goes to your browser and it monitors requests from other users. However, it's impossible to use now because the price is very high."

More New Relic cons

Pricing and Cost Advice

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

"You only pay for what you use."

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

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

"This solution required a license and it is better than some other competitors."

"The new licensing model is great, as we pay for what we use (in computational units). However, the pricing is expensive compared to other tools."

"The price of New Relic APM could be less expensive. We are using the New Relic APM pro account and it is more costly. When compared to competitors the solution's pricing should be much more realistic."

"Pricing is better with New Relic APM than Dynatrace."

"The solution is quite expensive. It costs around $5,000 a month. There aren't any additional costs above that."

"I think it's overpriced for the technical support that we get. We spent over 1,00,000 USD a year."

"I think the pricing is reasonable."

"The price of the solution could be less expensive. You have to pay a lot for each user. There is an additional cost for extra features."

More New Relic pricing and cost advice

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Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

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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

14%

Manufacturing Company

Computer Software Company

Outsourcing 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	65
Midsize Enterprise	51
Large Enterprise	79

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...

What needs improvement with Amazon OpenSearch Service?

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 ...

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...

What needs improvement with New Relic Insights?

While I appreciate many aspects of New Relic, I believe the product could improve in some areas—specifically, some advanced capabilities can have a learning curve for new users, and the licensing a...

What is your primary use case for New Relic Insights?

Since I'm a performance engineer, I typically use New Relic day-to-day for investigating any performance bottlenecks identified during our performance testing of any application. I look at the resu...

Grafana Loki vs Amazon OpenSearch Service

Comparisons

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Compared 5% of the time

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Compared 5% of the time

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Compared 5% of the time

Datadog vs Amazon OpenSearch Service

Compared 4% of the time

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Dynatrace vs New Relic

Compared 6% of the time

Datadog vs New Relic

Compared 6% of the time

Splunk AppDynamics vs New Relic

Compared 4% of the time

Azure Monitor vs New Relic

Compared 2% of the time

Elastic Observability vs New Relic

Compared 2% of the time

More New Relic Competitors

Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

Download New Relic product report

Also Known As

Amazon Elasticsearch Service

New Relic Browser, New Relic Applied Intelligence, New Relic Insights, New Relic Synthetics, New Relic Servers, New Relic APM

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)

New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.

New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.

What are New Relic's most important features?

Real-Time Monitoring: Provides instant visibility into application performance.
Detailed Transaction Tracing: Identifies specific transaction issues quickly.
Error Rate Tracking: Monitors and reports on error occurrences efficiently.
Customizable Dashboards: Tailors dashboard views for specific needs.
APM Integration: Seamlessly integrates with application performance management tools.

What benefits and ROI should be considered?

Operational Efficiency: Quick issue detection reduces downtime.
Improved Debugging: Enhanced error analysis supports rapid problem resolution.
Comprehensive Monitoring: Offers a holistic view of application performance and user behavior.
Incident Management: Integration with incident tools helps streamline responses.
Efficient Alerts: Rapid alert systems ensure timely notifications of issues.

In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.

Sample Customers

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

World Fuel Services, Verizon, FootLocker, McDonald's, Trainline, Mondia Media, Confused, Costa Coffee, Ryanair, Marks & Spencer, William Hill, Delivery Hero, Skyscanner, BASF, DAZN, Veygo, Virtuo, movingimage, talabat, Australia Post, Tokopedia, Seven Network, Virgin Australia, Zomato, BigBasket, Mercado Libre, Lending Club

Amazon OpenSearch Service vs. New Relic