Amazon OpenSearch Service vs Prometheus comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Jul 24, 2024

Prometheus and Amazon OpenSearch Service compete in monitoring and search analytics. Amazon OpenSearch Service has the upper hand due to its integrated solution and scalability.

Features: Prometheus offers reliable time-series data storage, a powerful alerting system, and simplicity. Amazon OpenSearch Service provides comprehensive search, visualization, and real-time analytics features, and integrates well with AWS services.

Room for Improvement: Prometheus needs better scalability, enhanced data visualization tools, and improved query language support. Amazon OpenSearch Service could use a more intuitive setup process, enhanced documentation, and customizable dashboards.

Ease of Deployment and Customer Service: Prometheus is easy to deploy, especially in Kubernetes, but it requires manual setup and maintenance. Community support is commendable. Amazon OpenSearch Service benefits from managed service, reducing deployment complexities and seamless integration with AWS services. Users report satisfaction with AWS customer support.

Pricing and ROI: Prometheus is cost-effective due to being open-source, appealing to tight budgets, but self-management can increase total cost. Amazon OpenSearch Service has higher setup costs but justifies them with robust features and managed service benefits. Users report quicker ROI due to reduced operational overhead.

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

Amazon OpenSearch Service vs. Prometheus

January 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

35th

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Log Management (39th)

Prometheus

Ranking in Application Performance Monitoring (APM) and Observability

8th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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

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

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

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

"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"

"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 solution helps us to scale our products and services, and it helps me by gathering those metrics."

"The product has an easy-to-understand interface."

"Prometheus is a great solution for monitoring."

"It is a stable solution...Based on the feedback I have received from my colleagues in our company's IT department, the setup phase of the solution is relatively easy."

"The product’s scalability is valuable."

"The solution can be deployed in thirty minutes."

"Prometheus gives us high availability automatically."

More Prometheus pros

Cons

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

"They can enhance data visualization."

"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."

"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."

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

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

"There is a need for a more comprehensive overview of exporters, especially when dealing with many of them."

"The setup could be made easier for new users because it requires a bit of advance knowledge or experience."

"The scalability must be improved."

"Prometheus requires improvement on the query side."

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

"The initial setup of Prometheus is complex and rated one out of five in ease of setup."

"The solution has shortcomings regarding security monitoring-oriented features to support custom use cases, like out-of-the-box test scenarios and threat-related use cases of its users."

More Prometheus cons

Pricing and Cost Advice

Information not available

"The product is expensive compared to Datadog."

"The solution is not expensive."

"My company uses the open-source version of the product."

"Prometheus is available as an open-source product."

"The product is free."

"Prometheus is an open-source solution."

"Prometheus is an open-source tool."

"Prometheus is an open-source solution."

More Prometheus pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

13%

Manufacturing Company

Government

Financial Services Firm

26%

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?

Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.

What needs improvement with Amazon OpenSearch Service?

One improvement I would like to see is support for auto-scaling. The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually. Addi...

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 30% of the time

Datadog vs Amazon OpenSearch Service

Compared 20% of the time

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Compared 16% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

Graylog vs Amazon OpenSearch Service

Compared 2% of the time

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Compared 14% of the time

Zabbix vs Prometheus

Compared 13% of the time

Apache SkyWalking vs Prometheus

Compared 8% of the time

Dynatrace vs Prometheus

Compared 8% of the time

Sentry vs Prometheus

Compared 7% of the time

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Product Reports

Application Performance Monitoring (APM) and Observability

February 2025

Download Amazon OpenSearch Service product report

Download Prometheus product report

February 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 specializes in gathering, monitoring, and analyzing logs and metrics. Utilized for data visualization in Grafana, cloud deployments, Kubernetes monitoring, and financial transactions, it provides a comprehensive view of application performance.

Prometheus is widely adopted for its robust metrics collection and scraping capabilities. It integrates seamlessly with Grafana for detailed visualizations and supports installations in cloud environments like Azure and Amazon. Prometheus is especially valued for monitoring Kubernetes deployments and ensuring efficient operation of servers, databases, and microservices. Its open-source nature provides reliability, flexibility, and scalability. Users appreciate its extensive integrations, APIs, and libraries, supporting multiple languages. Prometheus also offers remote writing, dynamic conflict resolution, high availability, and lightweight configuration with detailed documentation.

What are the key features of Prometheus?

Extensive Integrations: Supports APIs and libraries across multiple languages
Metrics Collection: Efficiently handles large amounts of metrics
Scraping Capabilities: Effective data gathering from applications
HTTP Monitoring: Reliable and detailed tracking
Grafana Integration: Seamless dashboards and visualizations
High Availability: Ensures system reliability
Lightweight Configuration: User-friendly setup process
Robust Querying: Advanced data querying and long-term storage integration

What benefits should users look for in reviews?

Holistic Application Performance: Provides a comprehensive view
Scalability: Handles growing amounts of metrics
Flexibility: Adapts to various cloud and on-premises environments
Reliability: Ensures consistent performance
Detailed Documentation: Offers clear guidance for users

Prometheus is extensively used in industries requiring robust monitoring and alerting systems. Financial services leverage it for tracking transactions, while tech companies deploy it for Kubernetes and microservices monitoring. Its scalable and flexible nature makes it a preferred choice for cloud environments, supporting the efficient operation of infrastructure and applications.