Datadog vs New Relic
Detailed side-by-side comparison
Datadog
FreeDatadog is a comprehensive cloud-scale monitoring and analytics platform that provides full-stack observability across infrastructure, applications, logs, and user experience. It offers DevOps teams a unified platform with 600+ integrations, AI-powered alerts, and powerful visualization tools to monitor performance and troubleshoot issues in real-time.
Visit DatadogNew Relic
FreeNew Relic is a full-stack observability platform designed for developers and DevOps teams to gain real-time insights into application performance, infrastructure, and user experience. It combines APM, infrastructure monitoring, and log analytics with AI-powered anomaly detection and supports 600+ integrations across cloud and on-premises environments.
Visit New RelicFeature Comparison
| Feature | Datadog | New Relic |
|---|---|---|
| Application Performance Monitoring | Distributed tracing with Application Performance Monitoring that integrates seamlessly with infrastructure metrics for correlated analysis | Full APM capabilities with distributed tracing across microservices and serverless, featuring AI-powered error analysis and deep transaction insights |
| Data Query and Analysis | Custom metrics and dashboards with machine learning capabilities for anomaly detection and forecasting | Powerful NRQL (New Relic Query Language) for deep data analysis and highly customizable visualizations with advanced querying capabilities |
| User Experience Monitoring | Real User Monitoring (RUM) and Synthetic monitoring to track actual user interactions and simulate user journeys | Digital experience monitoring for both web and mobile applications with comprehensive user session analysis |
| Log Management | Log management and analytics with real-time search capabilities, fully integrated with metrics and traces | Log monitoring integrated within the full-stack observability platform, correlated with APM and infrastructure data |
| Modern Architecture Support | Strong support for cloud platforms with 600+ integrations including containers, Kubernetes, and cloud services | Excellent support specifically optimized for Kubernetes, containers, serverless architectures, and modern cloud-native applications |
| Security Capabilities | Built-in security monitoring and threat detection capabilities integrated with infrastructure and application monitoring | Security features available through integrations and the broader observability platform, with focus on application-level security insights |
Pricing Comparison
Both platforms start at $0/mo with free tiers but become expensive at scale with complex pricing models based on data ingestion and volume. Both tools have similar pricing challenges where costs can be difficult to predict and may escalate significantly with high data volumes and extensive feature usage.
Verdict
Choose Datadog if...
Choose Datadog if you need stronger built-in security monitoring capabilities and prefer a platform with particularly powerful machine learning features for anomaly detection and forecasting. Datadog is also ideal if you want a more integrated security and observability solution in one platform.
Choose New Relic if...
Choose New Relic if you have modern cloud-native architectures with heavy use of Kubernetes, containers, and serverless, and value powerful custom querying capabilities through NRQL. New Relic is particularly strong for teams that need deep data analysis flexibility and excellent support for cutting-edge deployment patterns.
Get Your Free Software Recommendation
Answer a few quick questions and we'll match you with the perfect tools
Select the category that best fits your needs
Pros & Cons
Datadog
Pros
- + Extensive integration ecosystem supports virtually all major cloud platforms and services
- + Unified platform combines metrics, traces, and logs in one place
- + Powerful visualization tools and customizable dashboards
- + Strong machine learning capabilities for anomaly detection and forecasting
Cons
- - Pricing can become expensive at scale with high data volumes
- - Steep learning curve due to extensive feature set and configuration options
- - Complex pricing model based on multiple factors can be difficult to predict
New Relic
Pros
- + Comprehensive all-in-one platform eliminating need for multiple monitoring tools
- + Powerful query language (NRQL) for deep data analysis and custom visualizations
- + Excellent support for modern architectures including Kubernetes, containers, and serverless
- + Strong community and extensive documentation with pre-built integrations
Cons
- - Can be expensive at scale with complex pricing based on data ingestion
- - Steep learning curve for advanced features and query capabilities
- - Performance overhead on applications when using intensive instrumentation