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Amazon OpenSearch Service vs Coralogix comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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
35th
Ranking in Log Management
30th
Average Rating
7.8
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Coralogix
Ranking in Application Performance Monitoring (APM) and Observability
33rd
Ranking in Log Management
39th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
9
Ranking in other categories
Security Information and Event Management (SIEM) (42nd), API Management (29th), Streaming Analytics (19th), Anomaly Detection Tools (1st)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.7%, up from 0.0% compared to the previous year. The mindshare of Coralogix is 0.9%, up from 0.6% 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.
reviewer1915599 - PeerSpot reviewer
Good capabilities, has a helpful interface and is straightforward to set up
We have asked for a couple of features from the company already. What typically happens is a lot of people - and developers are one of the biggest consumers of this product - go to this product to optimize their investigation process and specific configurations. That increases our data flow at times, so the cost changes. And a lot of changes happen due to that. 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.

Quotes from Members

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

Pros

"The customer service is excellent, rated nine out of ten."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The business analytics capabilities are the most important feature it provides."
"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 initial setup is straightforward."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"A non-tech person can easily get used to it."
"The best feature of this solution allows us to correlate logs, metrics and traces."
"The log monitoring is good, and the dashboards that we create are beneficial."
"For now, we have not experienced any stability issues."
"Coralogix scales well, and I will rate it nine out of ten."
"The solution offers very good convenience filtering."
 

Cons

"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."
"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."
"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 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 user interface could be more intuitive and explanatory."
"Maybe they could make it more user-friendly."
"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions."
"The documentation of the tool could be improved"
"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."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"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."
"From my experience, Coralogix has horrible Terraform providers."
 

Pricing and Cost Advice

Information not available
"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."
"We are paying roughly $5,000 a month."
"The cost of the solution is per volume of data ingested."
"The platform has a reasonable cost. I rate the pricing a three out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
8%
Government
5%
Computer Software Company
15%
Financial Services Firm
10%
Healthcare Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
One improvement I would like to see is support for auto-scaling. The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually. Addi...
What do you like most about Coralogix?
Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.
What is your experience regarding pricing and costs for Coralogix?
The pricing is expensive. We need to reduce logs to manage costs. Despite the expense, I believe it is worth the money to have Coralogix as a tool.
What needs improvement with Coralogix?
We need to reduce the number of logs generated by our system, which are substantial. We require some form of grouping or categorization of logs to identify them better. Additionally, we find that t...
 

Overview

 

Sample Customers

Information Not Available
Payoneer, AGS, Monday.com, Capgemini
Find out what your peers are saying about Amazon OpenSearch Service vs. Coralogix and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.