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Amazon OpenSearch Service vs Coralogix comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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
Ranking in Log Management
19th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Search as a Service (3rd)
Coralogix
Ranking in Application Performance Monitoring (APM) and Observability
13th
Ranking in Log Management
11th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
22
Ranking in other categories
Security Information and Event Management (SIEM) (12th), API Management (10th), Streaming Analytics (11th), Anomaly Detection Tools (2nd), AI Observability (7th)
 

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 Coralogix is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Coralogix1.1%
Amazon OpenSearch Service1.1%
Other97.8%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Md. Shahariar Hossen - PeerSpot reviewer
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.
Arka Sarkar - PeerSpot reviewer
Technical Solution Support Development Engineer at Ericsson Global
Centralized monitoring has transformed telecom troubleshooting and now reduces downtime proactively
Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volumes, some complex queries take time to return results. Improving query speed and optimization would enhance the troubleshooting experience. Another point is the learning curve for advanced features. While basic usage is straightforward, advanced querying and dashboard configurations can take time for new users we are onboarding. We have faced this situation in our organization's domain frequently. More simplified UI options or guided templates would help new team members onboard faster. Additionally, dashboard customization flexibility needs improvement. Although dashboards are useful, having more flexibility in customization would make them even more powerful. An important point is cost optimization. Since log volume is high in our environment, better visibility and control over cost optimization would be beneficial. These are minor improvements overall. Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers. Improvements could include query performance, alert noise reduction, and ease of use for advanced features, especially for large-scale environments like ours.

Quotes from Members

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

Pros

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The stability of the product is good."
"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."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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."
"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."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool."
"Coralogix scales well, and I will rate it nine out of ten."
"Support is great; they are helpful and responsive, and they are the greatest support team that I ever worked with, especially in comparison with AWS support’s premium tier where Coralogix is a few times better than even AWS support."
"After implementing Coralogix, I noticed specific outcomes and improvements; whenever we try to fetch the data or check the monitoring logs, the spikes, the bars, and the graphs open very quickly, the latency is really very low, and it opens everything very fast, which makes a good impact on our organization."
"The solution offers very good convenience filtering."
"In my opinion, the best feature of Coralogix is that it's convenient to look at errors."
"With Coralogix, we have saved money and time."
 

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."
"One improvement I would like to see is support for auto-scaling."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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 price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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 want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"Coralogix can be improved by having better documentation to help new people onboard into this platform and understand the systems, including how they can integrate their cloud provider to better understand how Coralogix and the cloud provider work in sync."
"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."
"Maybe they could make it more user-friendly."
"From my experience, Coralogix has horrible Terraform providers."
"As a relatively new product, there are some rough edges yet and your mileage may vary."
"The documentation of the tool could be improved"
"Coralogix works well for our needs, but there are a few areas where improvements can be made."
"We have asked the company to auto-revert the changes after a while so that the system works typically. We want it to work at what it is expected to work at and not really based on the updated configuration which one developer has decided to change."
 

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."
"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."
"The platform has a reasonable cost. I rate the pricing a three out of ten."
"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."
"The cost of the solution is per volume of data ingested."
"We are paying roughly $5,000 a month."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise11
 

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?
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 prov...
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 ...
What is your experience regarding pricing and costs for Coralogix?
My experience with Coralogix pricing and licensing has been generally positive, especially considering the value it provides in terms of monitoring and troubleshooting. It follows a usage-based pri...
What needs improvement with Coralogix?
Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volu...
What is your primary use case for Coralogix?
In my organization, particularly in Ericsson's telecom BSS domain, the primary use case of Coralogix is centralized log management and real-time monitoring of telecom applications, such as the BSS ...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Payoneer, AGS, Monday.com, Capgemini
Find out what your peers are saying about Amazon OpenSearch Service vs. Coralogix and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.