Amazon OpenSearch Service vs Prometheus Group comparison

Amazon OpenSearch Service

Read 34 Prometheus Group reviews

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Executive SummaryUpdated on Jun 8, 2025

Prometheus Group and Amazon OpenSearch Service are leading solutions in the field of monitoring and data analysis. OpenSearch Service holds an edge with its robust managed services and advanced search capabilities, appealing to large-scale implementations.

Features: Prometheus stands out with its extensive integration options, high reliability, and open-source flexibility, especially in metric collection with Kubernetes. OpenSearch Service excels in powerful search functions, analytics, and efficient data management, appealing to organizations needing advanced data visualization.

Room for Improvement: Prometheus could improve its user interface and ease of use for complex queries, and enhance its visualization and security features. OpenSearch Service would benefit from better pricing models, more user-friendly configuration, and improved real-time analytics. Users find its customization limited due to its managed nature.

Ease of Deployment and Customer Service: Prometheus offers flexibility in deployment across Public Cloud, Hybrid Cloud, and On-premises environments but lacks formal technical support, relying on community resources. Amazon OpenSearch Service provides reduced complexity through managed public cloud solutions but lacks customization, and users find costs challenging during low activity.

Pricing and ROI: Prometheus is favored for its cost-effectiveness as an open-source solution, offering significant cost savings with no upfront licensing fees. It also has a managed version with minimal costs compared to AWS offerings. OpenSearch Service, though perceived as costly, provides valuable managed service benefits by reducing the need for dedicated infrastructure management, reflecting its higher overall costs compared to Prometheus.

To learn more, read our detailed Amazon OpenSearch Service vs. Prometheus Group Report (Updated: June 2025).

Amazon OpenSearch Service vs. Prometheus Group

June 2025

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Helped 856,873 peers since 2012

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)

Prometheus Group

Ranking in Application Performance Monitoring (APM) and Observability

10th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Prometheus Group is 3.2%, down from 3.7% 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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MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

Free to use and provides valuable monitoring capabilities

Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.

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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

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

"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"

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

"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."

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

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

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

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

"It has lots of APIs and libraries to integrate with any kind of language."

"The resilience of the solution's metric collection is very nice."

"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."

"Stability-wise, I rate the solution a ten out of ten."

"The dashboard is very valuable."

"The most valuable features of Prometheus for metrics collection and monitoring are its stability, robustness, and rich set of features."

"I like its lightweight configuration functions."

"The solution offers an easy way to install and scratch values."

More Prometheus Group pros

Cons

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

"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."

"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."

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

"They can enhance data visualization."

"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."

"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."

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

"If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus."

"If you want to collect details of metrics, you should be able to write a query for it directly. I want the product to offer better queries for the metrics."

"The primary area where Prometheus could be improved is in terms of pricing, particularly when used with managed services."

"The query language in Prometheus is an area of concern where improvements are required."

"There is a tool called Prometheus Exporter that doesn't work well."

"Prometheus requires improvement on the query side."

"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."

"Prometheus' UI color can improve. Using the Prometheus UI for configuration or analyzing queries is a horrible experience."

More Prometheus Group cons

Pricing and Cost Advice

Information not available

"This is an open-source solution."

"We use the solution's open-source version."

"Prometheus is an open-source solution."

"The price of Prometheus is good, it is affordable because it is open source and there is no cost to it. You put it on your own server and the costs incurred completely depend on how you set it up."

"We have the open-source version, so we don't pay for it."

"The solution is not expensive."

"It is an open-source tool."

"Prometheus is an open-source tool."

More Prometheus Group 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

25%

Computer Software Company

15%

Manufacturing Company

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

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...

What do you like most about Prometheus?

The most valuable feature of Prometheus is its ability to collect metrics.

What is your experience regarding pricing and costs for Prometheus?

Prometheus is cost-effective for me as it is free. Using cloud-native alternatives like Amazon Prometheus would incur charges.

What is your primary use case for Prometheus?

I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.

Grafana Loki vs Amazon OpenSearch Service

Comparisons

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

Graylog vs Amazon OpenSearch Service

Compared 3% of the time

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Compared 13% of the time

Azure Monitor vs Prometheus Group

Compared 10% of the time

Dynatrace vs Prometheus Group

Compared 8% of the time

Sentry vs Prometheus Group

Compared 7% of the time

Honeycomb.io vs Prometheus Group

Compared 3% of the time

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Product Reports

Amazon OpenSearch Service

June 2025

Download Amazon OpenSearch Service product report

Download Prometheus Group product report

May 2025

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)

Prometheus Group specializes in robust monitoring and observability, offering comprehensive data collection, analysis, and visualization across cloud and on-premise environments. Its integration with tools like Python, Java, and Kubernetes enables users to track metrics efficiently.

Prometheus Group provides an open-source, customizable platform focused on flexibility and reliability. Its integration with Grafana enhances data visualization while supporting complex infrastructures for improved productivity. Users rely on its scalable architecture for effective monitoring and observability, aiding performance analytics and alerting. Despite its strengths, challenges with its query language and interface usability persist, along with a need for simpler setup. Enhancing documentation and reporting capabilities remains essential for broader adoption, especially among less technical users.

What are the standout features of Prometheus Group?

Integration with Python, Java, and Kubernetes: Provides seamless metric collection and analysis.
Log Comparison Dashboard: Enables efficient comparison for better insights.
Flexible Exporters: Gathers diverse data for comprehensive monitoring.
Lightweight Configuration: Ensures easy deployment and management.
Grafana Integration: Facilitates advanced data visualization.

What benefits or ROI should users expect?

Scalability: Adapts to rapidly changing environments and infrastructure demands.
Community Support: Benefits from continuous open-source community improvements.
Enhanced Productivity: Improves system performance analytics and alerting efficiency.
Comprehensive Monitoring: Provides detailed insights into server health and resource usage.

Prometheus Group is widely implemented across industries like cloud services and IT infrastructure. Organizations monitor infrastructure, applications, and databases, utilizing its capabilities for system scalability and health checks within Azure and Amazon ecosystems. Its integration with Kubernetes supports performance monitoring and ensures reliable data analytics, fostering comprehensive metric tracking.