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Amazon OpenSearch Service vs Logz.io 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 Log Management
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Application Performance Monitoring (APM) and Observability (26th), Search as a Service (3rd)
Logz.io
Ranking in Log Management
37th
Average Rating
8.2
Reviews Sentiment
5.0
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (46th)
 

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.4%, up from 1.6% compared to the previous year. The mindshare of Logz.io is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service2.4%
Logz.io0.7%
Other96.9%
Log Management
 

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.
Derrick Brockel - PeerSpot reviewer
Senior Manager of Operations at a comms service provider with 10,001+ employees
The solution is a consistent logging platform that provides excellent query mechanisms
We can query a lot of data points and build dashboards. The vendor is good at adjusting their models. Most companies want us to forecast our yearly use and pay it upfront on day one. With Logz.io, we commit to use 14 TB in a year. However, they measure us every month and give us a monthly bill. Depending on our monthly usage, we pay for 14 TB divided by 12 months or a little extra. It's a little bit more like AWS. Other solutions do not do it. They want their money upfront. We really like the dashboards. We have 36 sub-accounts. Each sub-account is an app, and we could put restrictions on that app. Previously, there were capacity restrictions on the sub-accounts. If we have a sub-account of 1 TB and use only 100 GB, we waste 900 GB that day. We could not share it between sub-accounts. Now, they provide an overhead volume. We do a reserve, and any sub-account could use anything over the reserve. It utilizes our footprint better.

Quotes from Members

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

Pros

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."
"The customer service is excellent, rated nine out of ten."
"The initial set up is very easy...We really appreciate Amazon!"
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"The business analytics capabilities are the most important feature it provides."
"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."
"The query mechanism for response codes and application health is valuable."
"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."
"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."
"We use the product for log collection and monitoring."
"We use the tool to track the dev and production environment."
"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."
 

Cons

"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."
"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."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
"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."
"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."
"The solution needs to expand its access control and make it accessible through API."
"The product needs improvement from a filtering perspective."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"The price can be cheaper and they should have better monitoring."
"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"Capacity planning could be a little bit of a struggle."
 

Pricing and Cost Advice

"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."
"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"You pay for what you need, and that is a good model. They are also quite happy to talk to you about your uses and your use case. They will even go as far as suggesting things that you don't need to do in order to save you money. At one point, I was quite surprised at how cheap it could be if we wanted it to be or how much they would help us manage our costs."
"The product's pricing is cheaper than other solutions."
"At the time it was set up, we thought Logz.io was very reasonable for what we were getting in terms of how much time and hosting costs it was saving us, because you don't have to run the servers for it anymore."
"The tool is an open source product."
"The product is a little expensive."
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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
13%
Comms Service Provider
11%
Manufacturing Company
11%
Financial Services Firm
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise7
 

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...
Ask a question
Earn 20 points
 

Also Known As

Amazon Elasticsearch Service
Logz
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Dish Network, The Economist, Forbes, Holler, Kenshoo, OneSpan, Siemens, Sisense, Unity, ZipRecruiter
Find out what your peers are saying about Amazon OpenSearch Service vs. Logz.io and other solutions. Updated: December 2025.
880,844 professionals have used our research since 2012.