Amazon OpenSearch Service vs Splunk Observability Cloud comparison

Amazon Web Services (AWS) and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #22 with an average rating of 7.3, while Splunk is ranked #6 with an average rating of 8.3. Amazon Web Services (AWS) holds a 1.1% mindshare in APM, compared to Splunk’s 2.3% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Splunk users who would recommend it.

Amazon OpenSearch Service

Read 13 Amazon OpenSearch Service reviews

7,500 Views
3,600 Comparison Views

92% willing to recommend

Splunk Observability Cloud

Read 88 Splunk Observability Cloud reviews

16,217 Views
8,109 Comparison Views

95% willing to recommend

Amazon OpenSearch Service

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Splunk Observability Cloud and Amazon OpenSearch Service are two leading solutions in the observability and search analytics domain. Splunk offers a compelling advantage in analytics capabilities while Amazon OpenSearch aligns well with AWS integrations.

Features: Splunk Observability Cloud provides advanced real-time monitoring with customizable dashboards, making it ideal for handling complex data sets efficiently. It integrates well with various tools and platforms, offering versatility in its analytics features. Amazon OpenSearch Service, however, specializes in fast search capabilities and efficient data indexing. Its ability to manage extensive data volumes makes it a preferred choice within the AWS ecosystem.

Room for Improvement: Users of Splunk Observability Cloud highlight the need for simpler setup processes and better integration with third-party tools, alongside a more cost-effective pricing structure. Amazon OpenSearch Service could benefit from enhanced auto-scaling, improved documentation, and more configurable options to suit diverse user needs.

Ease of Deployment and Customer Service: Splunk Observability Cloud offers flexible deployment options across on-premises, cloud, and hybrid environments, backed by solid customer support, though response times could be improved. Amazon OpenSearch Service facilitates easy cloud-based setup, particularly favorable for AWS users, with highly regarded documentation and support services.

Pricing and ROI: The high pricing of Splunk Observability Cloud is often criticized, but its analytics power often justifies the cost with a significant ROI. Amazon OpenSearch Service provides a more budget-friendly option with a pay-as-you-go model, appealing to cost-sensitive businesses while still delivering consistent ROI and efficient data management.

To learn more, read our detailed Amazon OpenSearch Service vs. Splunk Observability Cloud Report (Updated: June 2026).

Buyer's Guide

Amazon OpenSearch Service vs. Splunk Observability Cloud

June 2026

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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

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (19th), Search as a Service (3rd)

Splunk Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

6th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Network Monitoring Software (7th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (5th), Container Management (6th), Digital Experience Monitoring (DEM) (3rd)

Mindshare comparison

As of June 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.1%, down from 2.0% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.3%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	2.3%
Amazon OpenSearch Service	1.1%
Other	96.6%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Md. Shahariar Hossen

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.

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Purnambica Kolavennu

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.

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Quotes from Members

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

Pros

"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."

"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."

"The business analytics capabilities are the most important feature it provides."

"This service already sorts data like vectors. They have classified the storage pre-defined."

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

"The initial set up is very easy...We really appreciate Amazon!"

"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."

More Amazon OpenSearch Service pros

"Previously with other applications, analyzing and controlling our API latency required almost five to six hours a day of resources, but with Splunk Observability Cloud, I only need to allocate one to two hours maximum per day to accomplish the same tasks."

"My experience with this solution in analyzing machine data is really good."

"The ability to create custom dashboards is one of the best features and that's typically why most people deploy Splunk. Users can create dashboards for just about anything."

"The tool's stability is great."

"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."

"The most valuable feature is log reporting."

"In terms of the application performance security, application performance tooling has been a key factor for me using Splunk."

"Initially, before Splunk, we had a long time to resolve issues. Now, with Splunk Observability Cloud, we will be able to solve them quickly and know exactly where the issue is."

More Splunk Observability Cloud pros

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."

"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."

"The configuration should be more straightforward because we had to select a lot of things."

"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."

"They can enhance data visualization."

"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."

More Amazon OpenSearch Service cons

"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."

"There are always areas for potential improvement to enhance its functionality and user experience."

"There's a lot of talk about AI-powered analytics and guidance in Splunk Observability Cloud. I didn't get a great sense of how much of it is actually working; there are a lot of AI hallucinations."

"Splunk APM should include a better correlation between resources and infrastructure monitoring."

"The solution's stability is an area that has room for improvement. It needs to provide constant stability to its users."

"We still use Splunk Enterprise licensing. A lot of the newer features go into Splunk Cloud before Enterprise. We're not looking to switch our licensing over, so we're falling behind on the newer features."

"It would be useful if they provided some help pages. If you don't know too much about the tool, there should be more documentation readily available. It would be useful if they had a help button embedded in the solution so you could ask questions and get answers."

"One thing I recently ran into was that the logs on the server most often get Gzipped after they have been rotated. We found that we were not monitoring some of the things, so we had to go back and pull them in. Right now, it pulls one at a time, untars it, or unzips it, so I cannot look at the entire history. There can be an improvement in that area."

More Splunk Observability Cloud cons

Pricing and Cost Advice

"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."

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"It is expensive."

"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."

"Splunk has been fairly expensive, but it has been predictable."

"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

"Splunk APM is expensive."

"It appears to be expensive compared to competitors."

"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."

"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."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

10%

Government

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	8
Large Enterprise	55

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...

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What needs improvement with Amazon OpenSearch Service?

See all answers

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 ...

See all answers

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...

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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 ...

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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 ...

See all answers

Comparisons

Grafana Loki vs Amazon OpenSearch Service

Compared 8% of the time

Xapien vs Amazon OpenSearch Service

Compared 5% of the time

Azure AI Search vs Amazon OpenSearch Service

Compared 5% of the time

Grafana vs Amazon OpenSearch Service

Compared 5% of the time

Datadog vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Avantra vs Splunk Observability Cloud

Compared 3% of the time

Datadog vs Splunk Observability Cloud

Compared 3% of the time

Kentik vs Splunk Observability Cloud

Compared 2% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

VMware Aria Operations for Applications vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

June 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Splunk Observability Cloud

May 2026

Download Splunk Observability Cloud product report

Also Known As

Amazon Elasticsearch Service

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

Buyer's Guide

Amazon OpenSearch Service vs. Splunk Observability Cloud

June 2026

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