New Relic and Amazon OpenSearch Service both compete in the application performance and data analysis space. New Relic appears to have the upper hand due to its comprehensive monitoring capabilities, but Amazon OpenSearch Service stands out for its data analytics features.
Features: New Relic provides application performance monitoring with detailed insights, real-time analytics, and transaction tracing. It excels in error detection and synthetic monitoring. Amazon OpenSearch Service offers robust search functionality and data analysis, with powerful dashboards and excellent scalability.
Room for Improvement: New Relic's pricing model and log management need improvements, as well as better integration capabilities and deeper process tracing. Amazon OpenSearch Service could enhance its data visualization, auto-scaling, and real-time alerting features. Its configuration complexity and high costs compared to self-managed solutions are areas for improvement.
Ease of Deployment and Customer Service: New Relic supports various deployment environments like public, hybrid, and on-premises clouds, offering flexibility alongside round-the-clock support, which sometimes lacks promptness. Amazon OpenSearch Service primarily supports public cloud environments with responsive technical support, though documentation clarity needs enhancement. New Relic's broader cloud compatibility stands out.
Pricing and ROI: New Relic is perceived as expensive, particularly for startups, yet delivers significant ROI by reducing downtime and enhancing application performance. Amazon OpenSearch Service, with its pay-as-you-go model, also faces criticism for high costs during idle times. Users value its managed service but desire more competitive pricing.
| Product | Market Share (%) |
|---|---|
| New Relic | 5.1% |
| Amazon OpenSearch Service | 2.0% |
| Other | 92.9% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 49 |
| Large Enterprise | 60 |
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.
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?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.
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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