No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon OpenSearch Service vs Zabbix comparison

Why PeerSpot?
 

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)
Zabbix
Ranking in Application Performance Monitoring (APM) and Observability
10th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
110
Ranking in other categories
Network Monitoring Software (1st), Server Monitoring (1st), IT Infrastructure Monitoring (2nd), Cloud Monitoring Software (4th)
 

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 Zabbix is 2.3%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Zabbix2.3%
Amazon OpenSearch Service0.9%
Other96.8%
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.
PJ
Developer at a financial services firm with 501-1,000 employees
Unified monitoring has reduced outages and enables proactive fixes with automated remediation
My favorite best feature is the ability to manage complex hybrid environments from a single dashboard. Zabbix natively supports monitoring everything from Linux servers and Windows servers to network devices and cloud infrastructure. The view I rely on the most on a day-to-day basis is a custom dashboard combining the problem widget and graph widget. The problem widget gives me an immediate filtered snapshot of the active alerts across all our servers. I pair that with the graph widget, which allows me to track performance metrics and compare values over time, such as monitoring storage and capacity trends on our Synology appliance. Having all of this in a single pane of glass saves me from constantly digging through logs. I also rely heavily on custom dashboards that combine the problem widget and the top host widget. The problem widget gives me an immediate filtered list of any active alerts across the entire environment. I pair that with the top host widget, which instantly shows me which servers are consuming the highest resources. Having all of these related metrics side-by-side in a single view allows me to spot the issue and identify the exact server causing it without having to dig through separate tools. Zabbix has built-in machine learning for continuous anomaly detection and proactive trend prediction. It establishes a baseline by analyzing historical data, allowing it to forecast impending issues, such as predicting exactly when a system will run out of resources before critical thresholds are breached. From a governance and security perspective, it delivers enterprise-grade security by supporting full data encryption and integration with external secret vaults to protect sensitive credentials. From a governance perspective, it features detailed configuration change tracking and role-based user permissions, which allows administrators to secure different teams or tenants within a single environment. Regarding accuracy, Zabbix's proactive alerts are highly accurate and trustworthy, provided they are fed enough historical data to establish a solid baseline. Regarding reliability and output, the prediction outputs are extremely reliable because Zabbix relies on transparent statistical mathematics, such as standard deviation and weighted moving averages, rather than a closed black box AI model. The straightforward statistical approach allows administrators to forecast value reliability and predict exactly how much time they have before a system reaches a critical problem threshold.

Quotes from Members

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

Pros

"This service already sorts data like vectors. They have classified the storage pre-defined."
"The stability of the product is good."
"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"AWS has now made our life easy."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It's a good log management platform. In terms of infrastructure management, it's good."
"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The calculations part is the most valuable."
"When you learn how to work with it, you will love it."
"It works well for my business."
"It is a great product; the SNMP protocol tracking feature is good, I really like how it tracks SNMP, and the alerts are also great."
"The most valuable feature is the protocol to manage anything."
"What we find the most valuable about Zabbix is that it is open source and there are no licensing costs."
"It meets my organizational needs. It's pretty easy to use."
"This is a product I can recommend to others."
 

Cons

"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."
"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."
"As a user, lower prices or reasonable pricing is always better."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"When using this solution in enterprise monitoring, you are able to see that there are some issues with equipment that could be causing a problem. Sometimes you want to make a root command that you do not want to be executed automatically. What we have tried to do is open an SSH session directly from the solution's interface but it is not possible."
"Improvement is needed as per customer requirements."
"We had some scalability issues with a large number of nodes."
"As far as improvements, sometimes I get a bit frustrated when I move from a previous version to a new one because some configuration has changed—I need to investigate the documentation to deal with some configuration. But it doesn't take much time, so it's okay."
"I wish it had more options for personalizing the product, such as being able to include your company's logo without editing text files."
"Even though it’s such a powerful monitoring system, it would be more helpful if it had a flexible UI."
"The reporting features need improvement, especially detailed inventory reporting. Since it's freeware, reporting may not be a major focus."
"I'm using the free version of Zabbix, and I'd like to see more customization options, especially for setting trigger thresholds."
 

Pricing and Cost Advice

"You only pay for what you use."
"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."
"The solution is not expensive, but priced averagely, I will say."
"It is reasonable."
"There is a license required for this solution and we pay annually for our license."
"It’s free of cost."
"Zabbix is an open-source tool, and it's free to use."
"The tool's licensing is good."
"This is an open-source solution that can be used free of charge."
"The tool's licensing costs are yearly."
"There is no license but we need to pay for support."
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
917,181 professionals have used our research since 2012.
 

Comparison Review

it_user174738 - PeerSpot reviewer
IT Developer at a tech services company with 51-200 employees
May 31, 2015
Nagios vs. Zabbix vs. PRTG vs. Spiceworks vs. Solarwinds Network Performance Monitor
I have researched a quite a few network monitoring tools which can be used for various monitoring purposes of not only the servers, but the intermediate routers as well. There are majorly three types of these softwares. Ones which are completely open-source, you can do almost anything you want…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
7%
Comms Service Provider
12%
Financial Services Firm
10%
Computer Software Company
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business56
Midsize Enterprise24
Large Enterprise35
 

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 ...
What is your experience regarding pricing and costs for Zabbix?
I think Zabbix is economical, whereas SolarWinds is expensive. SolarWinds has a lot of secure features, but Zabbix is providing everything free of cost. Zabbix is economical, and you can install it...
What needs improvement with Zabbix?
I am using only Area Operations, but I don't prefer it. I installed Zabbix for the 3000 devices. Area Operations is not good.
What is your primary use case for Zabbix?
I am still working with VMware and Area Operations, but I installed Zabbix now. I think Zabbix is better than VMware Area Operations. It's really good. I'm working with both Zabbix and VMware now.
 

Also Known As

Amazon Elasticsearch Service
No data available
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
1. IBM 2. Dell 3. Cisco 4. HP 5. Oracle 6. Microsoft 7. Amazon 8. Google 9. Facebook 10. Twitter 11. LinkedIn 12. Netflix 13. Adobe 14. VMware 15. Salesforce 16. SAP 17. Intel 18. AT&T 19. Verizon 20. T-Mobile 21. Vodafone 22. Ericsson 23. Nokia 24. Siemens 25. General Electric 26. Honeywell 27. Philips 28. Sony 29. Samsung 30. LG 31. Panasonic 32. Toshiba
Find out what your peers are saying about Amazon OpenSearch Service vs. Zabbix and other solutions. Updated: September 2026.
917,181 professionals have used our research since 2012.