Top 3 reasons people choose Dynatrace over New Relic
1
The broadest depth and widest scope
Advanced observability in context, so you get the complete picture of every app, every user, across every cloud, down to code-level, traces, metrics, logs, and metadata.
2
Smarter with AI-Assist
Davis®, the Dynatrace AI-assistant, provides real-time answers and actions into root cause, behavioral intelligence, and business impact.
3
Simpler and easier
Automatic deployment, configuration, thresholds, dashboards, upgrades. Dynatrace was designed to make it easy for all BizDevOps teams to collaborate through a single source of truth.
Compare Dynatrace and New Relic
Dynatrace
New Relic
Advanced observability
Dynatrace
Beyond 3 pillars of metrics, traces and logs with user experience data, auto instrumentation, and designed to automatically adjust for dynamic workloads across every cloud platform, containers, microservices and Kubernetes.
New Relic
Manual config and instrumentation for data collection and dynamic workloads wastes time and resources on redundant work. Not built for Kubernetes, OpenShift, Cloud Foundry, etc. resulting in big blind spots.
Beyond 3 pillars of metrics, traces and logs with user experience data, auto instrumentation, and designed to automatically adjust for dynamic workloads across every cloud platform, containers, microservices and Kubernetes
Manual config and instrumentation for data collection and dynamic workloads wastes time and resources on redundant work. Not built for Kubernetes, OpenShift, Cloud Foundry etc. resulting in big blind spots
Manual agent deployment, manual dependency connections, and manual troubleshooting wastes limited time and resources
AI-Assistance
Dynatrace
Davis, AI-assistance, continually learns so there are no wasted resources even as environment changes. Solves precise root cause automatically, prioritized by business impact – acting as a force multiplier for your teams and enabling you to focus on what matters without wasting time
New Relic
Correlation-based data engine, with no root cause, means wasting time and resources to comb through the data and manually find issues and their causes
Davis, AI-assistance, continually learns so there are no wasted resources even as environment changes. Solves precise root cause automatically, prioritized by business impact – acting as a force multiplier for your teams and enabling you to focus on what matters without wasting time
Correlation-based data engine, with no root cause, means wasting time and resources to comb through the data and manually find issues and their causes
Cross-team Collaboration
Dynatrace
All-in-one platform provides a single source of truth across APM, infrastructure monitoring, digital experience, and business analytics – breaks down silos and enables easier collaboration across Biz/Dev/Ops teams
New Relic
Siloed tools with a separate, newer platform layered on top of old platform means your teams are not on the same page, and you have to waste time and resources to stitch across disparate tools to get anything done
All-in-one platform provides a single source of truth across APM, infrastructure monitoring, digital experience, and business analytics – breaks down silos and enables easier collaboration across Biz/Dev/Ops teams
Siloed tools with a separate, newer platform layered on top of old platform means your teams are not on the same page, and you have to waste time and resources to stitch across disparate tools to get anything done
Omni-channel User Experience & Business Analytics
Dynatrace
Single data model across every digital channel that automatically ties together full-stack performance, user experience and business metrics, creating an outside-in perspective for better business outcomes. Shared business context empowers IT and business teams to prioritize and take the initiative to optimize and fix issues before they impact users
New Relic
Siloed tools across web and mobile channels, with no linkages to business metrics. You have to burn resources and time to bridge the silos between digital channels and manually tie to biz impact and fix issues
Single data model across every digital channel that automatically ties together full-stack performance, user experience and business metrics, creating an outside-in perspective for better business outcomes. Shared business context empowers IT and business teams to prioritize and take the initiative to optimize and fix issues before they impact users
Siloed tools across web and mobile channels, with no linkages to business metrics. You have to burn resources and time to bridge the silos between digital channels and manually tie to biz impact and fix issues
“We were using New Relic, but we never got the full picture of our production environment”
