Amazon OpenSearch Service vs Prometheus comparison

Amazon OpenSearch Service

Read 33 Prometheus reviews

6,878 Views
6,098 Comparison Views

100% willing to recommend

Comparison Buyer's Guide

Download the report

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: October 2024).

Amazon OpenSearch Service vs. Prometheus

October 2024

Download the complete report

Helped 816,406 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:

Customer Service

No sentiment score available

Sentiment score

4.1

Prometheus users frequently receive support from documentation, online communities, and internal teams, reducing the need for direct technical assistance.

We had one occasion where we needed to contact the technical support team, and they were able to resolve our issue efficiently.

For more quotes and insights, download the Amazon OpenSearch Service report

AWS Certified Solutions Architect at Trestle

No quotes available

For more quotes and insights, download the Prometheus report

Room For Improvement

No sentiment score available

Sentiment score

4.6

Prometheus needs improvements in query language, UI, documentation, visualization tools, integration, security monitoring, error handling, and pricing.

The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually.

For more quotes and insights, download the Amazon OpenSearch Service report

AWS Certified Solutions Architect at Trestle

No quotes available

For more quotes and insights, download the Prometheus report

Scalability Issues

No sentiment score available

Sentiment score

6.4

Prometheus is highly scalable, integrates with projects like Thanos, supports enterprise needs, but some users seek parameter improvements.

Amazon OpenSearch Service does not support auto-scaling, which limits scalability.

For more quotes and insights, download the Amazon OpenSearch Service report

AWS Certified Solutions Architect at Trestle

No quotes available

For more quotes and insights, download the Prometheus report

Setup Cost

No sentiment score available

Prometheus is favored for affordability due to its open-source model, often chosen over pricier alternatives like New Relic and Datadog.

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

For more quotes and insights, download the Amazon OpenSearch Service report

AWS Certified Solutions Architect at Trestle

No quotes available

For more quotes and insights, download the Prometheus report

Stability Issues

No sentiment score available

Sentiment score

9.3

Prometheus is stable and efficient, with occasional performance issues, commonly used in Docker Compose and Kubernetes environments.

No quotes available

For more quotes and insights, download the Amazon OpenSearch Service report

No quotes available

For more quotes and insights, download the Prometheus report

Valuable Features

No sentiment score available

Sentiment score

8.7

Prometheus is highly valued for its integration, flexibility, scalability, powerful querying, Grafana dashboards, easy installation, and robust API support.

It's a flexible database that allows for fast searching of terabytes of data compared to other databases.

For more quotes and insights, download the Amazon OpenSearch Service report

AWS Certified Solutions Architect at Trestle

No quotes available

For more quotes and insights, download the Prometheus report

Categories and Ranking

Amazon OpenSearch Service

Ranking in Application Performance Monitoring (APM) and Observability

54th

Average Rating

7.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Log Management (47th)

Prometheus

Ranking in Application Performance Monitoring (APM) and Observability

9th

Average Rating

8.4

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.

Read full review

Noam Blidstein

Head of Global IT Operations at a financial services firm with 501-1,000 employees

A very flexible open box that can be used vastly to do anything you need

Make sure that you have dedicated manpower to configure and manage the solution. It requires handling, not necessarily on a daily basis, but it definitely requires someone who is focused and has expertise with the solution. Know in advance what you want to gain from the solution. Don't jump in to configuring or deploying before knowing what you expect from it. I like the solution very much. I think it is a major tool, especially in advanced environments. The open box provides a lot of flexibility and gives a very holistic view of the entire Kubernetes environment. Integrating with the Rancher management tool gives the solution even more abilities. There are several tools that we use behind the scenes to ease the process but the solution on its own is a very good tool. I rate the solution an eight out of ten.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

See recommendations

816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

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?

The pricing is way too costly. I used it for around 40 MB of data for a month, and it cost $500. Even when idle, it continues to incur charges. They could improve this by allowing us to limit compu...

What needs improvement with Amazon OpenSearch Service?

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 an open-source tool.

What is your primary use case for Prometheus?

We use Prometheus for observability and analyzing data for business metrics and system metrics. It helps us with messaging services observability. It also helps a lot with the architecture and scal...

Grafana Loki vs Amazon OpenSearch Service

Comparisons

Compared 29% of the time

Datadog vs Amazon OpenSearch Service

Compared 23% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 18% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

Security Onion vs Amazon OpenSearch Service

Compared 2% of the time

More Amazon OpenSearch Service Competitors

Azure Monitor vs Prometheus

Compared 18% of the time

Zabbix vs Prometheus

Compared 11% of the time

Dynatrace vs Prometheus

Compared 10% of the time

New Relic vs Prometheus

Compared 9% of the time

Apache SkyWalking vs Prometheus

Compared 7% of the time

More Prometheus Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

November 2024

Download Amazon OpenSearch Service product report

Download Prometheus product report

November 2024

Learn More

Video not available

Amazon Web Services (AWS)

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.

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.