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Amazon OpenSearch Service vs Splunk Observability Cloud 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
21st
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (17th), Search as a Service (3rd)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
5th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
89
Ranking in other categories
Network Monitoring Software (7th), IT Infrastructure Monitoring (4th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 0.9%, down from 2.1% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.5%
Amazon OpenSearch Service0.9%
Other96.6%
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.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"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."
"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."
"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."
"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"
"AWS has now made our life easy."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The customer service is excellent, rated nine out of ten."
"The business analytics capabilities are the most important feature it provides."
"The initial setup was straightforward. We didn't find it to be too complex."
"In terms of the application performance security, application performance tooling has been a key factor for me using Splunk."
"It is very easy to monitor multiple cloud environments. It's like a single pane of glass for us. We can use it to monitor our on-prem and both of our cloud environments as opposed to having different tools for each environment. It makes it all come together in one tool."
"Splunk Observability Cloud is effective for detecting anomalies and preventing system outages."
"The product retains a lot of log data for subsequent analysis."
"The most valuable thing that we have seen within our group is the ability to ingest all this raw data and have it organized in a certain way so that different groups can get effective alerting from this massive amount of raw data that is out there."
"The solution monitors attacks or unauthorized access to the information we want to protect."
"It is a great resource for us because we have so many different data sources and to be able to aggregate that and put it through a concise dashboard or an alert really helps."
 

Cons

"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."
"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."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"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 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."
"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."
"They can enhance data visualization."
"One improvement I would like to see is support for auto-scaling."
"The product collects a lot of data but it does not assure that it collects all of it."
"The implementation can be more user-friendly."
"The pricing would be one area for improvement."
"If a customer utilizes third-party tools and wants to forward data from Splunk Observability Cloud, seamless integration would be beneficial."
"There are some predefined metrics.......we may want to create customized metrics."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"The deployment can be quite complex."
"The RUM part of Splunk Observability Cloud can be improved significantly."
 

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."
"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."
"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."
"The pricing is based on several factors, including the scale of deployment."
"Splunk APM is a very cost-efficient solution."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
9%
Government
6%
Financial Services Firm
11%
Manufacturing Company
9%
Construction Company
8%
Computer Software Company
7%
 

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 Business33
Midsize Enterprise9
Large Enterprise56
 

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 needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

Amazon Elasticsearch Service
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Amazon OpenSearch Service vs. Splunk Observability Cloud and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.