Amazon OpenSearch Service Reviews

Name: Amazon OpenSearch Service
Brand: Amazon Web Services (AWS)
Rating: 3.6 (6 reviews)

3.6 out of 5

6 reviews
83% willing to recommend

What is Amazon OpenSearch Service?

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.

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Amazon OpenSearch Service is the #22 ranked solution in Log Management Software and #24 ranked solution in APM tools. PeerSpot users give Amazon OpenSearch Service an average rating of 7.2 out of 10. Amazon OpenSearch Service is most commonly compared to Wazuh: Amazon OpenSearch Service vs Wazuh. Amazon OpenSearch Service is popular among the large enterprise segment, accounting for 63% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 14% of all views.

Buyer's Guide

Amazon OpenSearch Service

July 2025

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Featured Amazon OpenSearch Service reviews

Johnny Suleiman

MS AWS expert at Bespin Global MEA, an e& enterprise Company

OpenSearch is used as a search engine for specific logs, mainly in e-commerce and monitoring the logs themselves. It is very valuable for e-commerce, enabling data analysis on application logs and customer behavior, and can be integrated with other services, including AI and machine learning…

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Sameed Usmani

AWS Certified Solutions Architect at Trestle

I primarily use Amazon OpenSearch Service for log management and data storage. It's used to store third-party data and manage large volumes of query data across various services, including AWS Lambda and Kubernetes Amazon OpenSearch Service has enhanced our organization's ability to store and…

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VijayKumar27

Software Engineer at The American College

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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Amazon OpenSearch Service mindshare

Product category:

As of July 2025, the mindshare of Amazon OpenSearch Service in the Application Performance Monitoring (APM) and Observability category stands at 2.0%, up from 0.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

PeerResearch reports based on Amazon OpenSearch Service reviews

Type	Title	Date
Category	Application Performance Monitoring (APM) and Observability	Jul 14, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 14, 2025	Download
Comparison	Amazon OpenSearch Service vs Datadog	Jul 14, 2025	Download
Comparison	Amazon OpenSearch Service vs Dynatrace	Jul 14, 2025	Download
Comparison	Amazon OpenSearch Service vs Splunk AppDynamics	Jul 14, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	N/A	80%	48 interviews Add to research
Dynatrace	4.4	10.2%	95%	348 interviews Add to research

Valuable Features

Amazon OpenSearch Service offers vacuum storage for data retrieval with ease, seamless scalability, and integration capabilities. It enables fast searching of large datasets with support for multiple add-ons. Users appreciate the powerful search and analytics for performance optimization and system monitoring. OpenSearch dashboards allow for the integration of tools, customization, and visualization of metrics efficiently. Many have noticed smooth application performance and increased return on investment.

"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."
"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."

Room for Improvement

Amazon OpenSearch Service users find customization limited due to its managed nature, needing more flexibility for specific use cases. Built-in alerting for metrics like JVM and CPU usage is missing. Pricing is high, with costs accruing even during idle times. Data visualization could improve with a dedicated platform. Auto-scaling and efficient handling during snapshots are desired. Documentation for integration is lacking, and data management proves complex compared to other solutions, calling for user-friendly enhancements.

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

Pricing

Enterprise users find Amazon OpenSearch Service pricing generally higher than self-managed solutions, with costs involving labor and operational savings. Managed services add ease of management, but even with low data usage, prices can be steep. Users rate the cost between five to nine out of ten, indicating an expensive inclination. The service can be three to four times more costly than alternatives, with clients typically spending between $1,000 and $4,000.

Popular Use Cases

Amazon OpenSearch Service is primarily used for log management, data storage, and as a search engine for managing logs and database tasks. It supports e-commerce log analysis, vector storage, and integration with AWS services. Clients utilize it for debugging, security monitoring, performance monitoring, and application analysis. It is valued for its affordability, effectiveness in analyzing logs and APIs, and its compatibility with cloud-native environments.

Service and Support

Amazon OpenSearch Service provides good communication and response time. Users praise the AI support feature, Amazon Q, for basic queries. Customer service is often ranked nine out of ten, especially for performance issues. Some describe efficient resolution of technical issues, while others report delays without AWS support. ElasticCache users highlight AWS's superior assistance but find ElasticSearch's support challenging.

Deployment

Users found Amazon OpenSearch Service's initial setup varying in difficulty. Cluster creation was generally easy, but integrating VPC web clusters, especially with Okta, posed challenges. Experienced users found setup straightforward, while newcomers needed guidance. Deployment ranged from days to months, depending on experience. Some faced Lambda authentication issues but resolved them with documentation. Infrastructure setup was simpler compared to applications. The deployment involved agent installations and log management processes, revealing a mix of ease and complexity.

Scalability

Amazon OpenSearch Service exhibits impressive scalability, efficiently handling peak data loads and enabling seamless scale-ups and deployments. Its serverless architecture supports this, though manual management of storage and configurations is required due to the lack of auto-scaling. Some believe it's more suited for mid- to low-sized organizations, with larger ones encountering challenges. It's considered scalable but may not outperform similar platforms like Splunk. User opinions vary, but many acknowledge its efficiency and capacity.

Stability

Amazon OpenSearch Service exhibits varying stability levels. Some note minor latency issues when creating or updating indexes, while others report no stability concerns. Users anticipate that stability will match Elasticsearch since OpenSearch is a version of it. While some rate stability as good, others give lower scores due to perceived instability and lack of support. Stability is seen as generally reliable, although opinions differ based on the experience of specific users.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon OpenSearch Service Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

Government

Comms Service Provider

University

Healthcare Company

Retailer

Insurance Company

Performing Arts

Educational Organization

Media Company

Energy/Utilities Company

Transportation Company

Non Profit

Consumer Goods Company

Real Estate/Law Firm

Legal Firm

Hospitality Company

Outsourcing Company

Construction Company

Pharma/Biotech Company

Marketing Services Firm

Wholesaler/Distributor

Recreational Facilities/Services Company

Logistics Company

Leisure / Travel Company

Aerospace/Defense Firm

Compare Amazon OpenSearch Service with alternative products

Learn more about Amazon OpenSearch Service

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.