Dynatrace vs. Datadog

Work more efficiently through faster, more precise answers into the performance of your web-scale hybrid cloud and the impact it has on business outcomes.

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Top 3 reasons people choose Dynatrace over Datadog

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1

Actionable answers, not just data

Dynatrace is an answer-centric platform with AI at the core, which gives you precise root cause, anomaly detection, and business impact without the need to manually review charts and graphs. With Datadog you have lots of data, but you'll need to find the answer.

2

Advanced observability with context

Dynatrace provides observability across metrics, logs and traces with a single platform, but goes beyond that with digital experience, business analytics, and code-level detail, with an understanding of how everything is related in your complex, dynamic environment.

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3

Simple and automatic

Get to useful data faster with Dynatrace’s fully automated platform. Simply install the OneAgent, and within minutes Dynatrace maps your environment, establishes baselines and starts finding anomalies. Everything is automated, from deployment to root cause.

The difference is clear

Dynatrace

Datadog

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

Datadog

Manual config and data collection for three pillars of observability. Siloed data with limited understanding of relationships and dependencies

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 data collection for three pillars of observability. Siloed data with limited understanding of relationships and dependencies

Continuous Automation

Dynatrace

Zero-config, auto-upgrades, self-discovering, auto-baselining, continuously updated entity maps with AI-Assistance continuously watching everything 24x7 automatically

Datadog

Manual deployment, manual configuration and manual correlation and troubleshooting results in slow time to useful data

Zero-config, auto-upgrades, self-discovering, auto-baselining, continuously updated entity maps with AI-Assistance continuously watching everything 24x7 automatically

Manual deployment, manual configuration and manual correlation and troubleshooting results in slow time to useful data

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

Datadog

Bolted-on AI from acquisition, provides basic correlation only, no causation, leaving troubleshooting to you

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

Bolted-on AI from acquisition, provides basic correlation only, no causation, leaving troubleshooting to you

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

Datadog

Siloed tools and dashboards, resulting in war rooms to stitch together disparate views and analyze and resolve issues

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 and dashboards, resulting in war rooms to stitch together disparate views and analyze and resolve issues

User experience and 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

Datadog

Limited digital experience monitoring and no business analytics. No connection between user experience and back-end application and infrastructure metrics

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

Limited digital experience monitoring and no business analytics. No connection between user experience and back-end application and infrastructure metrics