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Amazon OpenSearch Service vs Chronosphere comparison

 

Comparison Buyer's Guide

Executive Summary

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
Ranking in Log Management
20th
Average Rating
7.2
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Chronosphere
Ranking in Application Performance Monitoring (APM) and Observability
30th
Ranking in Log Management
34th
Average Rating
9.0
Reviews Sentiment
6.8
Number of Reviews
1
Ranking in other categories
AIOps (15th)
 

Mindshare comparison

As of May 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.8%, up from 0.1% compared to the previous year. The mindshare of Chronosphere is 0.3%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

VijayKumar27 - PeerSpot reviewer
Effective as a vector store, serverless architecture but there aren't enough security features
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. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.
Arvind Pant - PeerSpot reviewer
Monitors pipelines with real-time alerts and good documentation
It isn't very easy. It's not easy for everyone. It would be much easier if there could be a simpler version, like a data number version or an SQL version. It's hard to debug if you don't know the syntax. Also, I saw the Slack alerts feature, which is pretty cool, but I cannot customize my messages on the Slack alerts. It would be great if it were possible to tag people in the alerts. At DoorDash, we have hundreds of pipelines, and if something fails, I want to tag specific people so they can start working on the issue immediately.

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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"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"
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The business analytics capabilities are the most important feature it provides."
"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 has enhanced our organization's ability to store and search large amounts of data efficiently."
"The customer service is excellent, rated nine out of ten."
"The alerting features are good"
 

Cons

"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."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"They can enhance data visualization."
"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."
"It's not easy for everyone."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
9%
Government
5%
Computer Software Company
17%
Retailer
13%
Financial Services Firm
13%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Amazon OpenSearch Service?
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
What is your experience regarding pricing and costs for Amazon OpenSearch Service?
Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.
What needs improvement with Amazon OpenSearch Service?
I did not delve deeply into Amazon OpenSearch Service, so I am unable to suggest specific improvements. However, we faced documentation challenges during integration after migrating from Elasticsea...
What needs improvement with Chronosphere?
It isn't very easy. It's not easy for everyone. It would be much easier if there could be a simpler version, like a data number version or an SQL version. It's hard to debug if you don't know the s...
What is your primary use case for Chronosphere?
I work as a data engineer, and we have many streaming pipelines. We use Chronosphere to monitor various metrics, such as how much data our pipeline is processing in each batch, the volume of incomi...
What advice do you have for others considering Chronosphere?
If you want to monitor pipelines and use something like Kafka or any streaming platform, Chronosphere is the best option for monitoring pipelines with real-time alerts. It is loosely coupled with y...
 

Overview

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: May 2025.
852,649 professionals have used our research since 2012.