Amazon OpenSearch Service Reviews

Name: Amazon OpenSearch Service
Brand: Amazon Web Services (AWS)
Rating: 3.7 (3 reviews)

3.7 out of 5

3 reviews
66% 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 #47 ranked solution in Log Management Software and #54 ranked solution in APM tools. PeerSpot users give Amazon OpenSearch Service an average rating of 7.4 out of 10. Based on the analysis of the 3 most recent Amazon OpenSearch Service reviews, the overall sentiment is positive, with a sentiment score of 7.3. Amazon OpenSearch Service is most commonly compared to Dynatrace: Amazon OpenSearch Service vs Dynatrace. 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 financial services firm, accounting for 17% of all views.

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November 2024

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Featured reviews

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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Sameed Usmani

AWS Certified Solutions Architect at Trestle

I use Amazon OpenSearch Service for log management and data storage due to its fast searching capabilities and managed database solution. Despite higher costs than self-hosted options, it meets critical needs, though it lacks auto-scaling and efficient snapshot processes.

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Faisal Umer

Senior DevOps Engineer at Ebryx

Some configurations or settings are not accessible to end users, as OpenSearch Service is a managed service. 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. Currently, there are strict controls. For instance, if you wish to adjust cluster settings or other parameters, it's challenging for AWS to modify them. The real-time analytics provided by Amazon OpenSearch Service can significantly improve your decision-making processes. Initially, we struggled to determine the correct cluster size and monitor various metrics. You can easily observe metrics like JVM and CPU usage on the monitoring dashboard. This information helps choose the appropriate tool and understand its support and extension capabilities. It would be even better if the service included built-in alerting based on these metrics. If an issue arises, you must manually check the cluster's status. Implementing preconfigured alerts for critical metrics like JVM and CPU usage would significantly enhance the service's usability.

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Valuable Features

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"This service already sorts data like vectors. They have classified the storage pre-defined."

Room for Improvement

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

Pricing

Popular Use Cases

Deployment

Scalability

Stability

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

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Top industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Government

Retailer

Comms Service Provider

University

Energy/Utilities Company

Healthcare Company

Performing Arts

Consumer Goods Company

Media Company

Educational Organization

Pharma/Biotech Company

Marketing Services Firm

Insurance Company

Transportation Company

Non Profit

Outsourcing Company

Hospitality Company

Recreational Facilities/Services Company

Wholesaler/Distributor

Logistics Company

Legal Firm

Real Estate/Law Firm

Construction Company

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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.