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Amazon OpenSearch Service vs Google Cloud's operations suite (formerly Stackdriver) 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

Amazon OpenSearch Service
Ranking in Application Performance Monitoring (APM) and Observability
22nd
Ranking in Log Management
18th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Search as a Service (3rd)
Google Cloud's operations s...
Ranking in Application Performance Monitoring (APM) and Observability
26th
Ranking in Log Management
23rd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
Cloud Monitoring Software (16th)
 

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.1%, down from 1.9% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.2% 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 Service1.1%
Google Cloud's operations suite (formerly Stackdriver)0.9%
Other98.0%
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.
Anand_Patel - PeerSpot reviewer
Senior Technical Architect at T-Systems International GmbH
Offers reliable Ops Agent and logging transport feature with easy third-party integrations
As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

Quotes from Members

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

Pros

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"The initial set up is very easy...We really appreciate Amazon!"
"It's a good log management platform. In terms of infrastructure management, it's good."
"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."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"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."
"We find the solution to be stable."
"I like the monitoring feature."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Google's technical support is very good."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"It has reduced the amount of time that we would take for troubleshooting."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Provides visibility into the performance uptime."
 

Cons

"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."
"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."
"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 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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"One improvement I would like to see is support for auto-scaling."
"They can enhance data visualization."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"It is difficult to estimate in advance how much something is going to cost."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"It could be even more automated."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it."
"The logging functionality could be better."
"The process of logging analytics can be improved"
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
 

Pricing and Cost Advice

"You only pay for what you use."
"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."
"The cost of using Stackdriver depends on usage."
"We have a basic standard license without any additional costs."
"The cost could be lower."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Financial Services Firm
15%
Computer Software Company
8%
Comms Service Provider
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise8
 

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?
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 experience regarding pricing and costs for Google Stackdriver?
As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...
What needs improvement with Google Stackdriver?
If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.
What is your primary use case for Google Stackdriver?
I use the solution for logging, defining alerts, and monitoring. Our company's Java and Python logging teams mainly use it.
 

Also Known As

Amazon Elasticsearch Service
Google Stackdriver, Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Uber, Batterii, Q42, Dovetail Games
Find out what your peers are saying about Amazon OpenSearch Service vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.