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Actional vs Amazon OpenSearch Service 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

Actional
Ranking in Application Performance Monitoring (APM) and Observability
70th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
SOA Governance (4th)
Amazon OpenSearch Service
Ranking in Application Performance Monitoring (APM) and Observability
24th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (19th), Search as a Service (4th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Actional is 0.5%, up from 0.0% compared to the previous year. The mindshare of Amazon OpenSearch Service is 1.0%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Amazon OpenSearch Service1.0%
Actional0.5%
Other98.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

it_user690762 - PeerSpot reviewer
Consultant at a comms service provider with 501-1,000 employees
Provides speed and scaling in the cloud
Provides speed and scaling in the cloud Effortless scaling Never throws away data Takes action now Delivers analytics at the speed of business Automates and speeds up system discovery I would like to see better marketing. We have used this for four years. There are no deployment issues at this…
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.

Quotes from Members

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

Pros

"This tool has great scaling capabilities, i.e., no limitations."
"From a testing standpoint, ignoring license and cost issues, it's not a bad product."
"It's a good log management platform. In terms of infrastructure management, it's good."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"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."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The customer service is excellent, rated nine out of ten."
"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."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The stability of the product is good."
 

Cons

"My concern is with Automation integration."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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 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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"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."
"One improvement I would like to see is support for auto-scaling."
"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch product."
 

Pricing and Cost Advice

Information not available
"Compared to other cloud platforms, it is manageable and not very expensive."
"The solution is not expensive, but priced averagely, I will say."
"There is a community edition available and the price of the commercial offering is reasonable."
"You only pay for what you use."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
 

Questions from the Community

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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 ...
 

Also Known As

No data available
Amazon Elasticsearch Service
 

Overview

 

Sample Customers

Proximus, Air France-KLM, Barratt Developments, Freedom Mortgage
VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Find out what your peers are saying about Actional vs. Amazon OpenSearch Service and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.