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Amazon OpenSearch Service vs Turbo360 (Formerly Serverless360) 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
23rd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (15th), Search as a Service (3rd)
Turbo360 (Formerly Serverle...
Ranking in Application Performance Monitoring (APM) and Observability
68th
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
Cloud Management (47th), Cloud Monitoring Software (35th), Cloud Cost Management (33rd)
 

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.0% compared to the previous year. The mindshare of Turbo360 (Formerly Serverless360) is 0.8%, up from 0.3% 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 Service0.9%
Turbo360 (Formerly Serverless360)0.8%
Other98.3%
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.
reviewer1868589 - PeerSpot reviewer
Python Engineer at Msys Technologies
Great topic subscription monitoring, helpful management, and useful for audits
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. One more thing to note is that their support team was always ready to clear all our doubts regarding the product but we feel that it would be much appreciated if they could share with us the required resources to get new customers like us well-versed in traversing through different modules of the product. These are the very few areas where Serverless360 can be improved.

Quotes from Members

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

Pros

"The stability of the product is good."
"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."
"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."
"They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"It's a good log management platform. In terms of infrastructure management, it's good."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"That is exactly where Serverless360 helped us by bringing in both Service Bus management and monitoring under the same hood."
"It offers all the core capabilities we need to manage and monitor our Azure services."
"Serverless360 transformed the way our organizations manage Azure and hybrid integrations."
"Service Bus topic subscription monitoring turned out to be the most useful for us."
 

Cons

"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."
"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."
"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."
"They can enhance data visualization."
"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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"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."
"The user interface of Serveress360 could be improved a bit to make the platform even easier to use."
 

Pricing and Cost Advice

"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
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
7%
Construction Company
19%
Financial Services Firm
15%
Comms Service Provider
15%
Outsourcing Company
8%
 

Company Size

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

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 ...
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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: September 2026.
917,433 professionals have used our research since 2012.