Amazon OpenSearch Service Reviews

Name: Amazon OpenSearch Service
Brand: Amazon Web Services (AWS)
Rating: 3.8 (12 reviews)

3.8 out of 5

12 reviews
92% willing to recommend

What is Amazon OpenSearch Service?

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

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Amazon OpenSearch Service is the #2 ranked solution in top Search as a Service vendors, #20 ranked solution in Log Management Software, and #25 ranked solution in APM tools. PeerSpot users give Amazon OpenSearch Service an average rating of 7.6 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 65% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 16% of all views.

Buyer's Guide

Amazon OpenSearch Service

August 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 August 2025, the mindshare of Amazon OpenSearch Service in the Application Performance Monitoring (APM) and Observability category stands at 2.1%, up from 0.3% 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	Aug 18, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 18, 2025	Download
Comparison	Amazon OpenSearch Service vs Datadog	Aug 18, 2025	Download
Comparison	Amazon OpenSearch Service vs Dynatrace	Aug 18, 2025	Download
Comparison	Amazon OpenSearch Service vs New Relic	Aug 18, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	N/A	80%	48 interviews Add to research
Dynatrace	4.4	10.2%	95%	349 interviews Add to research

Valuable Features

Amazon OpenSearch Service features include easy processing power upgrades and domain changes, efficient failure management with minimal downtime, and seamless integration with AWS Lambda. It supports fast searching of large data, native JSON, versatile search grammar, and scalable analytics. OpenSearch dashboards facilitate tool integration; users appreciate vacuum storage for cold data. It enables quick data retrieval, flexible analytics for APIs and performance, and powerful log analysis, offering tangible benefits for applications and 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

Amazon OpenSearch Service needs more intuitive configuration options with simpler user interfaces, enhanced integration with Kibana, and better customization for users. It requires improvements in database management, documentation, data handling, and mapping configurations. Enhanced auto-scaling, idle data cost control, and built-in metric alerting are desired. It could benefit from its own data visualization tools and better pricing strategies.

"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 buyers find Amazon OpenSearch Service pricing manageable, yet leaning towards costly, especially compared to self-managed options. Users appreciate paying based on usage, with the cost reaching $1,000 to $4,000 depending on data size and resources involved. The service provides value through reduced infrastructure management and labor savings despite higher managed service costs. Ratings suggest a balance between pricing fairness and capability, though some experience pricing as significantly expensive.

"The solution is not expensive, but priced averagely, I will say."
"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."

Popular Use Cases

Amazon OpenSearch Service is primarily used for log management, data storage, and analytics. Users leverage it for embedded management, application debugging, security monitoring, and performance analysis. It stores and searches events, manages logs from various sources, and enables data stream processing via integrations with Amazon Kinesis, DynamoDB, and more. Users also utilize it as a vector store within AWS infrastructure and employ it for e-commerce search functionalities, AI integrations, and client-specific performance monitoring.

Service and Support

Amazon OpenSearch Service receives positive feedback for its knowledgeable customer assistance and timely response. Users appreciate the community resources and AI support feature Amazon Q. Massive positive comments highlight efficient handling of performance issues, with some facing delays unless they purchase AWS support. While technical support gets diverse ratings, ranging from excellent to challenging, the consensus is that communication and problem resolution are satisfactory, though certain users find ElasticSearch open-source support less user-friendly.

Deployment

Users found the initial setup of Amazon OpenSearch Service easy and quick, taking minutes to a few days. Some experienced challenges with integrations like Okta, which required additional time. For those with AWS experience, setup was simpler, while newcomers might need guidance. Deployment involved stages like agent installation and log management. The process benefited from comprehensive AWS documentation, aiding integration tasks. The application's complexity was acknowledged but considered manageable due to the platform's capabilities.

Scalability

Amazon OpenSearch Service demonstrates robust scalability, successfully catering to diverse organizational needs. It effectively handles various user bases and can be scaled without downtime. While generally scalable, some suggest limitations exist with auto-scaling features and comparisons to other services like Splunk. Despite its strengths, large organizations experience challenges with setup and configuration, making it more suitable for mid-sized enterprises. Notable attributes include the ability to scale efficiently with minimal disruption.

Stability

Amazon OpenSearch Service demonstrates strong stability according to users, though there are notable exceptions. Some report occasional lags and latency issues, particularly creating or updating indexes. One user mentions having to reset servers due to Elasticsearch non-responsiveness. Despite these problems, other feedback indicates a high level of stability, with expectations for continued improvement. Some attribute lower stability to Amazon OpenSearch Service being in a beta phase, while others note no significant performance concerns.

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.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

13%

Manufacturing Company

Government

University

Comms Service Provider

Healthcare Company

Retailer

Educational Organization

Media Company

Energy/Utilities Company

Insurance Company

Performing Arts

Transportation Company

Non Profit

Consumer Goods Company

Real Estate/Law Firm

Construction Company

Pharma/Biotech Company

Legal Firm

Outsourcing Company

Hospitality Company

Logistics Company

Marketing Services Firm

Recreational Facilities/Services Company

Wholesaler/Distributor

Leisure / Travel Company

Recruiting/Hr Firm

Compare Amazon OpenSearch Service with alternative products

Learn more about Amazon OpenSearch Service

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon OpenSearch Service was previously known as Amazon Elasticsearch Service.