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Amazon OpenSearch Service vs Datadog comparison

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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
29th
Ranking in Log Management
17th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Search as a Service (3rd)
Datadog
Ranking in Application Performance Monitoring (APM) and Observability
3rd
Ranking in Log Management
4th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.8%, down from 1.8% compared to the previous year. The mindshare of Datadog is 4.1%, down from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.1%
Amazon OpenSearch Service0.8%
Other95.1%
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.
Kallamuddin Ansari - PeerSpot reviewer
Cyber Security Consultant at HR Software Solution
Unified monitoring has improved incident response and now reduces root cause analysis time
One area where Datadog can be improved is around alert quality. In the beginning, it tends to generate many alerts, and without proper tuning, many of them are not actionable. It would help if there were more built-in guidance or smarter defaults to reduce noise. Another improvement area is cost visibility and control. As log and metric ingestion increases, it has not always been straightforward to track which data is driving the cost. More granular and real-time cost insights would make it easier to manage. Additionally, while the dashboards are flexible, navigating and organizing them at scale can become slightly difficult. Better structuring or management options would help in larger environments.

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 has enhanced our organization's ability to store and search large amounts of data efficiently."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"AWS has now made our life easy."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"The initial set up is very easy...We really appreciate Amazon!"
"The business analytics capabilities are the most important feature it provides."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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."
"With Datadog, we managed to get everyone on board into a single place and a single tool, providing teams with one spot where they can check everything related to monitoring, and enabling management and leadership to have an overview of all tools working together."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"Datadog has clear dashboards and good documentation."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"Datadog has helped my organization improve a lot of response time because we get alerts the minute it happens, which is our only means to reduce incident response time."
"The two most valuable aspects are the Terraform provider for Datadog and the K8s Orchestrator."
"The stability is great."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
 

Cons

"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"They can enhance data visualization."
"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."
"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."
"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 logging could be improved in the future."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"I would like to see the integration between PagerDuty and Datadog improved. The tags in Datadog don't match those in PagerDuty, and we have to make it work."
"Learning about the tooling could also be improved. It is a bit clunky to use, especially in an incident."
"We need a lot of modules since we collect all data logs from all operating systems."
"Datadog can be improved because sometimes it seems it has not been developed for enterprises."
"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."
"While it’s powerful, the interface can feel cluttered and overwhelming for new users."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"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."
"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"The cost is high and this can be justified if the scale of the environment is big."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"While it is an expensive product, I would rate the pricing level at four out of five."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"They prefer monthly subscriptions."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
7%
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
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 Business81
Midsize Enterprise50
Large Enterprise100
 

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 ...
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...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Find out what your peers are saying about Amazon OpenSearch Service vs. Datadog and other solutions. Updated: October 2026.
921,028 professionals have used our research since 2012.