InfluxDB and New Relic compete in time-series data handling and performance monitoring. InfluxDB has an edge with its ease of deployment and cost-effectiveness, while New Relic balances higher pricing with comprehensive features.
Features: InfluxDB provides robust time-series data storage, high granularity, and scalability, making it ideal for IoT and analytics. It supports a flexible query language and integrates easily with existing systems. New Relic offers extensive application performance monitoring, delivering deep insights into system health with detailed performance metrics. It includes anomaly detection and supports a wide range of technology integrations.
Room for Improvement: InfluxDB could enhance its analytics capability, improve data visualization tools, and expand community support channels. New Relic could simplify its initial configuration, offer more competitive pricing plans, and improve real-time data processing speeds.
Ease of Deployment and Customer Service: InfluxDB offers a straightforward setup with an intuitive interface, suitable for developers. New Relic requires more complex configuration, but it provides comprehensive customer support to assist with challenges during setup.
Pricing and ROI: InfluxDB appeals to those with budget constraints due to its lower initial costs and effective data handling capabilities, offering significant ROI. New Relic, with a higher pricing tier, justifies costs through its powerful monitoring suite and the potential for high ROI by improving system performance insights.
Product | Market Share (%) |
---|---|
New Relic | 1.8% |
InfluxDB | 0.4% |
Other | 97.8% |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 3 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 65 |
Midsize Enterprise | 50 |
Large Enterprise | 61 |
InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.
InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.
InfluxDB offers its users:
InfluxDB Benefits
There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:
Reviews from Real Users
InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.
Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”
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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