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 #20 ranked solution in Log Management Software and #21 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 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 15% of all views.

Buyer's Guide

Amazon OpenSearch Service

May 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 May 2025, the mindshare of Amazon OpenSearch Service in the Application Performance Monitoring (APM) and Observability category stands at 1.8%, up from 0.1% 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	May 20, 2025	Download
Product	Reviews, tips, and advice from real users	May 20, 2025	Download
Comparison	Amazon OpenSearch Service vs Datadog	May 20, 2025	Download
Comparison	Amazon OpenSearch Service vs Dynatrace	May 20, 2025	Download
Comparison	Amazon OpenSearch Service vs Splunk AppDynamics	May 20, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	N/A	79%	46 interviews Add to research
Dynatrace	4.4	10.5%	95%	347 interviews Add to research

Valuable Features

Amazon OpenSearch Service offers vacuum storage for cold or ultra-warm data, allowing easy retrieval of historical data via S3. It excels in scalability, integrating seamlessly with any system. Its flexibility enables fast searches of terabytes of data and supports multiple add-ons for application logic. Users praise its reliable search results, useful for API analysis, performance analytics, log examination, identifying system errors, and monitoring performance, making it a valuable tool for business analytics.

"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

Users suggest enhancements for Amazon OpenSearch Service, including customizable configurations, improved pricing, and built-in alerts for JVM and CPU metrics. They note that costs are high, even during idle times. Improvements in data visualization, auto-scaling, integration with Compute Optimizer, and faster indexing are desired. Users also encounter documentation difficulties during integration and seek a more user-friendly interface.

"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 more expensive than self-managed options, attributing costs to managed service features, labor savings, and infrastructure management ease. Some users reported high charges even for minimal data usage, suggesting improvements by allowing idle data storage without incurring costs. Although considered fair, many agree the service is pricier than alternatives, being three to four times more costly. Overall, the pricing leans towards the expensive side concerning capabilities versus cost.

Popular Use Cases

Amazon OpenSearch Service is used for log management, data storage, and as a search engine in e-commerce. It manages query data across services like AWS Lambda and Kubernetes, enabling microservices log analysis and customer behavior insights. It's used as a vector store in databases, storing embeddings and vectors, and integrates with AI and machine learning. It also facilitates API performance analysis, product information search, and backend system troubleshooting through analytics dashboards.

Service and Support

Amazon OpenSearch Service offers efficient customer service and support. Users report good communication and response times. An AI support feature, Amazon Q, provides assistance through queries and article references. Customers rate the service nine out of ten and appreciate the support, particularly with performance-related issues involving ElasticCache. Technical support effectively resolves concerns when contacted.

Deployment

Several users found Amazon OpenSearch Service's initial setup straightforward, with cluster creation being uncomplicated. However, integrating with Okta presented challenges, extending setup time to months for some. While experienced users found it easier, freshers might need guidance. AWS documentation helped ease integration tasks, though some faced issues with authentication methods. Maintenance was simple, and suggestions included an option for idle state. For users with good AWS knowledge, the process proved manageable.

Scalability

Amazon OpenSearch Service is praised for its effective scalability, allowing users to scale deployments efficiently, especially in e-commerce contexts. It supports peak data loads with no downtime, thanks to its serverless nature. Some point out the lack of auto-scaling requires manual management of storage and server configurations. Others are unsure about its scalability but assume positive performance based on its capabilities. Despite manual configuration needs, many appreciate its flexibility in handling various scalability demands.

Stability

Amazon OpenSearch Service demonstrates solid stability. Some experience minor latency issues when creating or updating data, with backend updates taking up to 20 seconds. Occasionally, deleted indexes remain visible briefly. Stability is considered good, with expectations for improvement as OpenSearch evolves. Compared to Elasticsearch, which also shows strong performance, Amazon OpenSearch remains reliable with no significant disruptions reported. Users have made adjustments since migrating from Elasticsearch, anticipating stability akin to its predecessor.

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

15%

Computer Software Company

14%

Manufacturing Company

Government

Comms Service Provider

University

Retailer

Healthcare Company

Educational Organization

Energy/Utilities Company

Performing Arts

Media Company

Insurance Company

Transportation Company

Real Estate/Law Firm

Consumer Goods Company

Legal Firm

Non Profit

Outsourcing Company

Construction Company

Pharma/Biotech Company

Hospitality Company

Marketing Services Firm

Wholesaler/Distributor

Recreational Facilities/Services Company

Leisure / Travel Company

Aerospace/Defense Firm

Logistics Company

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.