Sentry vs Datadog vs New Relic: Best Application Monitoring in 2026
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Quick Verdict
If you need pinpoint error tracking and debugging for frontend and backend code, Sentry wins hands down. It’s the fastest tool to set up, cheapest at scale for error-focused teams, and its tracing and replay features are now competitive with APM tools.
If you need full-stack observability – metrics, logs, traces, and dashboards – Datadog is the industry standard. It’s expensive, but the depth of integrations and data correlation is unmatched.
New Relic sits in the middle: great APM features, but its error tracking and frontend support lag behind Sentry, and its pricing can surprise you. It’s best if you already have a New Relic stack or need deep infrastructure monitoring without Datadog’s cost.
Comparison Overview
Sentry, Datadog, and New Relic all help you understand what’s happening in your production applications, but they approach the problem from different angles:
- Sentry started as an error tracking tool and evolved into a full-featured observability platform with distributed tracing, session replay, and performance monitoring. It’s developer-first – setup is usually a single SDK install, and the UI is built for debugging stack traces.
- Datadog is a comprehensive monitoring and security platform. It ingests metrics, logs, traces, and user experience data. Its strength is correlation: you can see a slow database query, the server CPU spike, and the user’s session all in one view.
- New Relic is a legacy APM leader that’s been modernising. It offers similar breadth to Datadog but with a different pricing model (per-host vs per-data). It’s strong on infrastructure monitoring but weaker on error grouping and frontend performance.
The right choice depends on your team size, budget, and whether you want a specialised error tool or a single pane of glass for everything.
What Is Sentry?
Sentry is an open-core error tracking and performance monitoring platform. It started as a simple exception logger and has grown into a full observability suite with:
- Error Tracking – automatic grouping, source maps, breadcrumbs, and user context.
- Performance Monitoring – distributed tracing with transaction and span visibility.
- Session Replay – video-like playback of user interactions (including console logs and network requests).
- Crash Reporting – native support for mobile apps (iOS, Android, Unity, etc.).
- Profiling – continuous code profiling in production.
Sentry is especially loved by frontend teams because it captures JavaScript errors with source maps out of the box. The free tier (5k errors/month, 1GB traces) is generous for small projects.
Pricing: Starts at $26/month for the Team plan (50k errors, 10GB traces). The Business plan ($80/month) adds advanced features like replays and cross-project dashboards. Self-hosted is available for free (open source).
What Is Datadog?
Datadog is a cloud-scale monitoring and analytics platform. It started as a metrics aggregator and now ingests logs, traces, synthetic checks, real user monitoring (RUM), and security signals.
Key features:
- Infrastructure Monitoring – 700+ integrations (AWS, Azure, GCP, Kubernetes, databases).
- APM & Distributed Tracing – automatic instrumentation for many languages, flame graphs, service maps.
- Log Management – full-text search, live tail, log pipelines.
- Real User Monitoring – page load timing, JS errors, session replays.
- Synthetic Monitoring – browser and API tests.
- Dashboards & Alerts – highly customisable, alert fatigue can be a problem.
Datadog’s pricing is usage-based – you pay for hosts, logs ingested, traces indexed, RUM sessions, etc. It can escalate quickly if you don’t cap usage.
Pricing: Pro plan starts at $15/host/month (minimum 5 hosts). Logs are $0.10/GB ingested. RUM sessions are $1.50 per 1000 sessions. A typical small team with 10 hosts and moderate logs can expect $200–$400/month.
Feature Comparison
| Feature | Sentry | Datadog | New Relic |
|---|---|---|---|
| Error Tracking | ★★★★★ Best-in-class grouping, source maps, breadcrumbs | ★★★★ Good, but less intelligent grouping | ★★★ Basic, no automatic source map resolution |
| APM / Tracing | ★★★★ Distributed tracing, spans, performance issues | ★★★★★ Full APM with service maps, flame graphs | ★★★★★ Mature APM with deep database insights |
| Log Management | ★★ Basic (limited to error logs) | ★★★★★ Full log ingestion, search, pipelines | ★★★★ Logs included, but retention costs extra |
| Infrastructure Monitoring | ★★ Not available | ★★★★★ 700+ integrations, host metrics | ★★★★ Good, but fewer integrations than Datadog |
| Real User Monitoring | ★★★★ Replay, performance, errors | ★★★★ RUM with session replays | ★★★ Basic page load timing |
| Session Replay | ★★★★★ Video-like, includes console & network | ★★★★ Available but costs extra | ★★ Not available |
| Synthetic Monitoring | ★★ Limited (via integrations) | ★★★★★ Browser & API tests | ★★★★ Browser tests |
| Alerts | ★★★ Simple but effective | ★★★★★ Highly customisable, noisy | ★★★★ Good, but complex |
| Open Source / Self-Hosted | ★★★★★ Yes (MIT license) | ★★ No | ★★ No |
| Ease of Setup | ★★★★★ One SDK, minutes | ★★★ Agent installation, configuration | ★★★ Agent + license key |
Winner by use case:
- Error-first teams: Sentry
- Full-stack observability: Datadog
- APM with infrastructure: New Relic
Pricing Comparison
| Tier / Plan | Sentry | Datadog | New Relic |
|---|---|---|---|
| Free | 5k errors/mo, 1GB traces, 1 user | 5 hosts, 1 day retention, limited logs | 100 GB data/mo, 1 user, 30-day retention |
| Entry Paid | $26/mo (50k errors, 10GB traces) | $15/host/mo (min 5 hosts = $75/mo) | Starts at $0.25/GB ingested (no fixed host pricing) |
| Mid-Tier | $80/mo (Business) | Pro + $1.50/1000 RUM sessions | Pro: $0.50/GB + per-user license |
| Enterprise | Custom | Custom | Custom |
| Hidden Costs | Overages for errors and traces | Logs, RUM, APM host counts | Data overage, user licenses |
Takeaway: Sentry is cheapest for error-focused teams. Datadog is predictable if you control host count but expensive at scale. New Relic’s per-GB pricing can be cheaper for low-volume apps but quickly escalates if you ingest a lot of logs.
Pros and Cons of Sentry
Pros:
- Exceptional error grouping – rarely see duplicate issues
- Open source core – self-host for free, no vendor lock-in
- Session replay is the best in class for debugging user issues
- SDKs for every major language and framework
- Generous free tier for small projects
Cons:
- No log management – you need a separate tool (e.g., Datadog or Logtail)
- Infrastructure monitoring is non-existent – no host metrics, no Kubernetes dashboards
- Alerts are basic – can’t do complex multi-condition alerts
- Performance monitoring is good but not as deep as Datadog’s APM (e.g., no database query explain plans)
Pros and Cons of Datadog
Pros:
- Unmatched integration ecosystem – everything from AWS to MongoDB to Cloudflare
- Correlated data – see a log, trace, and metric in one view
- Powerful dashboards and alerts (if you invest time in setup)
- Synthetic monitoring and RUM are mature
Cons:
- Expensive – costs spiral quickly with logs and RUM sessions
- Complex setup – agent installation, configuration, and tuning can take days
- Alert fatigue – default alerting is noisy; requires careful tuning
- Error grouping is weaker than Sentry – duplicates and noise are common
Who Should Choose Sentry?
You should choose Sentry if:
- You’re a solo developer or small team – the free tier and simple setup let you focus on code.
- Your primary pain point is errors – frontend JavaScript errors, backend exceptions, mobile crashes. Sentry’s grouping and breadcrumbs are unmatched.
- You want to self-host – Sentry’s open-source version runs on Docker and is perfect for compliance-heavy environments.
- You already have a log aggregator – Sentry pairs nicely with DigitalOcean’s Managed Logging or Railway’s built-in logs.
Avoid Sentry if: You need infrastructure monitoring, synthetic checks, or a single platform for everything.
Who Should Choose Datadog?
You should choose Datadog if:
- You run a complex cloud infrastructure – multiple services, Kubernetes, microservices, and need to correlate metrics, logs, and traces.
- You have a dedicated SRE or DevOps team – the learning curve is worth it for the flexibility.
- You need synthetic monitoring and RUM – Datadog’s browser tests and session replays are solid.
- Budget is not a primary concern – you’re willing to pay for the best correlation.
Avoid Datadog if: You’re a small team with limited budget or just need error tracking – you’ll pay 10x more for features you won’t use.
Final Verdict
Pick Sentry if your main job is fixing bugs and you want the fastest path from error to fix. It’s the best error tracking tool on the market, and with tracing and replay, it covers most observability needs for a typical web app.
Pick Datadog if you need full-stack observability and have the budget and team to manage it. It’s the gold standard for infrastructure and APM correlation.
New Relic is a solid alternative if you’re already using it or need deep APM with per-host pricing, but it doesn’t beat Sentry on errors or Datadog on breadth.
For most indie hackers and small teams, Sentry + a basic log service (like Supabase’s Logs or Railway) is the most cost-effective and developer-friendly stack.
FAQ
Can I use Sentry and Datadog together?
Yes, many teams do. Sentry for error tracking and Datadog for infrastructure and logs. They integrate via webhooks.
Is New Relic cheaper than Datadog?
It depends. New Relic’s per-GB model can be cheaper for low-volume apps, but Datadog’s per-host model is more predictable if you have many hosts with low data volume.
Does Sentry support mobile crash reporting?
Yes, Sentry has native SDKs for iOS, Android, Unity, and more. It’s one of the best mobile crash tools.
Can I self-host Sentry for free?
Yes, the open-source version is free and self-hosted via Docker. The hosted version is more convenient for most.
Which tool is best for serverless apps?
Sentry’s lightweight SDKs work well with AWS Lambda, Vercel, and Cloudflare Workers. Datadog has serverless integrations but requires more setup. Vercel’s own analytics is also worth considering for frontend-only apps.
How do I migrate from New Relic to Sentry?
Sentry provides migration guides and a New Relic integration. You can export traces and errors, but you’ll lose historical data.
Still unsure? Most tools offer free trials. Start with Sentry’s free tier – you’ll know within a day if it covers your needs. If not, Datadog’s free plan gives you 5 hosts to test the waters.
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