What Sets Them Apart
The fundamental difference between these three platforms is scope. Sentry is a developer-focused error tracking and debugging platform that excels at capturing application-level errors with rich context. Datadog is a cloud-scale observability platform that monitors infrastructure, applications, logs, security, and user experience across the entire technology stack. New Relic is a full-stack observability platform that combines APM, infrastructure monitoring, log management, and browser monitoring under a unified data model. Choosing between them depends on whether your primary need is deep error debugging or broad operational visibility.
Directus, Strapi, and Sanity at a Glance
Sentry's strength is the depth of its error debugging experience. When an application error occurs, Sentry captures the complete stack trace with source-mapped code, a breadcrumb trail of events leading to the error, user context including device and session information, and Session Replay showing exactly what the user did before the crash. The Seer AI agent can perform automated root cause analysis and suggest code fixes. No other platform matches this level of developer-oriented crash diagnostics. However, Sentry does not monitor infrastructure health, aggregate logs, or provide network-level visibility.
Datadog approaches monitoring from the infrastructure upward. It requires installing an agent on your hosts that collects metrics from over 750 integrations, then layers APM, log management, synthetic monitoring, real user monitoring, security monitoring, and CI visibility on top. Datadog's APM captures distributed traces, generates service maps, and correlates application performance with infrastructure metrics. The error tracking feature is built into APM and RUM, providing crash reporting functionality similar to Sentry but with less debugging depth. Datadog's advantage is the ability to correlate an application error with the infrastructure conditions that caused it.
New Relic positions itself as the most accessible full-stack observability platform through its generous free tier and per-user pricing model. The platform provides APM with distributed tracing, infrastructure monitoring, log management, browser monitoring, mobile monitoring, and synthetic monitoring. New Relic's NRQL query language enables custom dashboards and alerts across all data types. The AI-powered New Relic AI assistant helps users navigate the platform and write queries. Like Datadog, New Relic offers error tracking as part of its APM product, but the debugging experience is less developer-focused than Sentry's dedicated error tracking.
Content Modeling, API, and Customization
Pricing models differ dramatically and often determine the choice for budget-conscious teams. Sentry uses event-based pricing: free for 5,000 errors per month, $26 per month for Team with 50,000 errors, and $80 per month for Business with 100,000 errors. Datadog prices each product separately with per-host infrastructure monitoring starting at $15 per host per month and APM at $31 per host per month, making it the most expensive option that can easily reach thousands of dollars monthly for mid-size deployments. New Relic charges per user at $49 per full platform user per month with 100GB of free data ingestion, making costs more predictable but potentially expensive for large teams.
Data model and querying capabilities reveal architectural differences. Datadog stores metrics, traces, and logs in separate backends optimized for each data type, with cross-correlation through tags and attributes. New Relic stores all telemetry in a single database called NRDB, queried through NRQL, which simplifies cross-data-type analysis but can create performance challenges at extreme scale. Sentry stores error events, performance data, and session replays in its own optimized backend focused entirely on the developer debugging workflow. Teams that need to correlate infrastructure metrics with application traces benefit from Datadog or New Relic; teams that need the deepest possible error context benefit from Sentry.
Integration ecosystems reflect each platform's positioning. Datadog offers over 750 integrations covering virtually every infrastructure component, cloud service, and development tool. New Relic provides 600-plus integrations with strong coverage of cloud platforms and popular frameworks. Sentry integrates with 100-plus languages and frameworks for instrumentation, plus development tools like GitHub, Jira, Slack, and PagerDuty for workflow automation. Sentry's integrations are narrower but deeper in the error tracking domain, while Datadog and New Relic provide broader but shallower coverage across the entire technology stack.
Hosting, Pricing, and Performance
The open-source dimension favors Sentry and provides a self-hosting option that neither Datadog nor New Relic offers. Sentry can be deployed on your own infrastructure using Docker, giving organizations full control over data sovereignty and retention. Datadog and New Relic are cloud-only SaaS platforms with no self-hosted options, which can be a blocker for organizations in regulated industries or with strict data residency requirements. Teams that must keep monitoring data within their own infrastructure have Sentry as their only viable option among these three.
For teams already using one platform, the migration and coexistence considerations matter. Sentry runs alongside any observability platform — many organizations use Sentry for error tracking and Datadog or Grafana for infrastructure monitoring. This complementary deployment is Sentry's recommended approach for teams needing both deep error debugging and broad infrastructure visibility. Running Datadog and New Relic simultaneously is unusual and expensive, as they overlap significantly in functionality. The most common migration path is from one full-stack platform to the other, not running both.