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Amazon OpenSearch Service vs Turbo360 (Formerly Serverless360) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 16, 2025

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
26th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (22nd), Search as a Service (3rd)
Turbo360 (Formerly Serverle...
Ranking in Application Performance Monitoring (APM) and Observability
62nd
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
Cloud Management (50th), Cloud Monitoring Software (44th), Cloud Cost Management (29th)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.6%, up from 1.2% compared to the previous year. The mindshare of Turbo360 (Formerly Serverless360) is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service1.6%
Turbo360 (Formerly Serverless360)0.6%
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.
reviewer1858887 - PeerSpot reviewer
Software Development Engineer In Test at Quinbay
Centralized, great for performing corrective actions and has a helpful Business Activity Monitoring module
1) The user interface of Serveress360 could be improved a bit to make the platform even easier to use. 2) The addition of management and monitoring features for Cognitive services, Power Automate, and a few more Azure services. 3) It would be much better if it is a multi-cloud management/monitoring platform. 4) The consolidated error reports sent via the alerting channels can be a bit more intuitive. 5) Their customer support was good but good technical documentation or feature videos can be even more helpful.

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."
"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."
"It's a good log management platform. In terms of infrastructure management, it's good."
"The initial set up is very easy...We really appreciate Amazon!"
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The customer service is excellent, rated nine out of ten."
"Service Bus topic subscription monitoring turned out to be the most useful for us."
"It offers all the core capabilities we need to manage and monitor our Azure services."
 

Cons

"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."
"As a user, lower prices or reasonable pricing is always better."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"One improvement I would like to see is support for auto-scaling."
"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."
"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 user interface of Serveress360 could be improved a bit to make the platform even easier to use."
"Addition of more monitoring features to Azure Cosmos DB can be a huge help as we use the same as the main database for our applications."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"Compared to other cloud platforms, it is manageable and not very expensive."
"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
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Computer Software Company
27%
Financial Services Firm
12%
Comms Service Provider
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
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?
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?
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 t...
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Also Known As

Amazon Elasticsearch Service
Serverless360
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
MSC, Transalta, Rank Group, RACQ, BBC, Q2 Solutions, Middleway, BUPA, Columbia Sportswear, EDF
Find out what your peers are saying about Amazon OpenSearch Service vs. Turbo360 (Formerly Serverless360) and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.