New Relic and Amazon OpenSearch Service are prominent tools in their respective niches. Users suggest New Relic excels in support and customer service, while Amazon OpenSearch Service delivers superior feature sets.
Features: New Relic offers real-time monitoring, detailed analytics, and dashboard capabilities. Amazon OpenSearch Service provides scalability, powerful search capabilities, and integration with other AWS services.
Room for Improvement: New Relic could improve intuitive configuration, cost transparency, and user interface. Amazon OpenSearch Service requires better documentation, ease of use, and more comprehensive customer support.
Ease of Deployment and Customer Service: New Relic is noted for straightforward deployment processes and responsive support. While Amazon OpenSearch Service has relatively smooth deployment, its customer support is not rated as highly.
Pricing and ROI: New Relic faces criticism for higher setup costs but offers solid ROI through its extensive feature set. Amazon OpenSearch Service is recognized for cost-efficiency despite relatively lower initial costs.
We had one occasion where we needed to contact the technical support team, and they were able to resolve our issue efficiently.
The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually.
Amazon OpenSearch Service does not support auto-scaling, which limits scalability.
Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.
It's a flexible database that allows for fast searching of terabytes of data compared to other databases.
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.
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?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.
New Relic is a powerful tool for optimizing web pages, tracking user behavior, and monitoring application performance. It helps detect anomalies, generate metrics, and create dashboards for synthetics monitoring, container workloads, stress tests, and more.
New Relic provides organizations with comprehensive insights into APIs, infrastructure, and scalability. It supports mobile and web applications with features like java tracking, health maps, customizable dashboards, and drill-downs. Users benefit from its easy initial setup, accurate alerts, UI monitoring, error tracking, and traceability. New Relic supports multiple ecosystems with straightforward pricing and new feature introductions, offering end-to-end monitoring, thorough data analysis, and effective problem resolution.
What are New Relic's most important features?New Relic is leveraged in industries such as e-commerce, finance, and technology. It helps monitor web traffic, evaluate load balancing, and ensure applications meet performance standards. Companies use it for stress tests, container-based workloads, API monitoring, and infrastructure management. Its integration capabilities are valuable for maintaining performance and scalability across diverse ecosystems, aiding in thorough data analysis and problem resolution.
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