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 #23 with an average rating of 7.2, while Splunk is ranked #11 with an average rating of 8.7. Amazon Web Services (AWS) holds a 1.9% mindshare in APM, compared to Splunk’s 1.2% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 94% of Splunk users who would recommend it.

Amazon OpenSearch Service

Read 6 Amazon OpenSearch Service reviews

1,495 Views
570 Comparison Views

83% willing to recommend

Splunk Observability Cloud

Read 52 Splunk Observability Cloud reviews

2,105 Views
865 Comparison Views

94% willing to recommend

Amazon OpenSearch Service

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on May 11, 2025

Splunk Observability Cloud and Amazon OpenSearch Service compete in data monitoring and analysis, catering to distinct user needs. Splunk's edge lies in its extensive customization, while Amazon OpenSearch excels in search efficiency and managed service convenience.

Features: Splunk Observability Cloud offers seamless data integration, high-speed indexing, and customizable dashboards for comprehensive monitoring. It enables extensive data collection and performance reporting, ensuring end-to-end visibility. Amazon OpenSearch Service provides robust data analytics, efficient data retrieval, and integration with backend systems, focusing on large-scale data analysis and reliable search functionalities.

Room for Improvement: Splunk users suggest better third-party integration, improving scalability, and simplifying configuration and cost complexities. Enhancing documentation and endpoint protection is also recommended. Amazon OpenSearch users advise adding auto-scaling, cost efficiency, and built-in alerts for critical metrics to address managed service limitations.

Ease of Deployment and Customer Service: Splunk supports hybrid and multi-cloud setups with flexible deployment but receives mixed technical support reviews. Amazon OpenSearch simplifies public cloud deployment but lacks on-premises options, with users finding support enhanced by cloud efficiencies.

Pricing and ROI: Splunk is noted for high costs but justifies them with flexibility and visibility, leading to positive ROI. Amazon OpenSearch also incurs significant costs but offers savings through managed services, improving efficiency and reducing infrastructure management burdens.

To learn more, read our detailed Amazon OpenSearch Service vs. Splunk Observability Cloud Report (Updated: June 2025).

Buyer's Guide

Amazon OpenSearch Service vs. Splunk Observability Cloud

June 2025

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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

23rd

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Log Management (21st)

Splunk Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

11th

Average Rating

8.4

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (7th), Cloud Monitoring Software (8th), Container Management (7th)

Mindshare comparison

As of June 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.9%, up from 0.1% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.2%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

VijayKumar27

Software Engineer at The American College

Effective as a vector store, serverless architecture but there aren't enough security features

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. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.

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Lakshmi Padaga

Java Developer at U.S. Bank

Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection

Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.

Read full review

Quotes from Members

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

Pros

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

"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."

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

"The customer service is excellent, rated nine out of ten."

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

"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"

"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."

"Splunk's dashboards are great."

"The most valuable feature is log reporting."

"The tool is efficient in collecting, monitoring and evaluating logs."

"The data collection from our VMs, containers, databases, and backend components is valuable."

"The solution's basic visibility is one of its most valuable features. So, it is a solution that is easy to use...The solution's initial setup process was straightforward."

"The solution overall is very valuable for me."

"It supports proactive management, enhances security, and improves operational efficiency."

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."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"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."

"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."

"They can enhance data visualization."

"One improvement I would like to see is support for auto-scaling."

"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."

"One improvement I would like to see is support for auto-scaling."

"The price has room for improvement."

"They need more EDR functionalities."

"The solution's machine learning deployment is hard and should be made user-friendly."

"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."

"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."

"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."

"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."

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

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"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."

"Splunk Observability Cloud is expensive."

"Splunk APM is expensive."

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

"The pricing is reasonable."

"The price of Splunk APM is less than some of its competitors."

"Splunk APM is a very cost-efficient solution."

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

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

17%

Computer Software Company

15%

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

See all answers

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...

See all answers

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...

See all answers

What do you like most about SignalFx?

The most valuable feature is dashboard creation.

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...

See all answers

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 ...

See all answers

Comparisons

Grafana Loki vs Amazon OpenSearch Service

Compared 29% of the time

Datadog vs Amazon OpenSearch Service

Compared 16% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 13% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

Wazuh vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Observe vs Splunk Observability Cloud

Compared 18% of the time

Splunk ITSI (IT Service Intelligence) vs Splunk Observability Cloud

Compared 6% of the time

Dynatrace vs Splunk Observability Cloud

Compared 5% of the time

ServiceNow IT Operations Management vs Splunk Observability Cloud

Compared 5% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

June 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

Splunk Observability Cloud

May 2025

Download Splunk Observability Cloud product report

Also Known As

No data available

Splunk Infrastructure Monitoring

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

Amazon Web Services (AWS)

Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.

Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.

What are the key features of Splunk Observability Cloud?

Log Search: Efficiently search and analyze log data for enhanced insights.
Data Integration: Fast integration across platforms for comprehensive visibility.
Custom Dashboards: Powerful and adaptable dashboards for real-time monitoring.
Cloud Integration: Seamless integration with cloud services for scalable solutions.
Application Performance Monitoring: Advanced tools for improving application performance.

What benefits and ROI should be expected?

Infrastructure Monitoring: Improved visibility and monitoring across infrastructure components.
Operational Efficiency: Enhancements in data analysis lead to efficient operations.
Business Resilience: Supports adaptability and swift responses to changing needs.
Security Management: Enhances threat identification and response through real-time alerts.
Compliance Support: Aids in meeting compliance and auditing requirements effectively.

In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.

Splunk

Sample Customers

Information Not Available

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

Buyer's Guide

Amazon OpenSearch Service vs. Splunk Observability Cloud

June 2025

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