Sentry vs Datadog (2026): Error Tracking vs Full Observability
By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 12, 2026 · Based on production monitoring experience
คำตอบใน 30 วินาที
เลือก Sentry for application-layer error tracking — top-tier error grouping, stack traces, source maps, release tracking, and suspect commits. Generous free tier and open-source. เลือก Datadog for full-stack observability — unified infrastructure metrics, APM traces, logs, and ML-powered alerting in one platform. Sentry ชนะ 7-5 overall. Many ทีม use both: Sentry for code errors, Datadog for infrastructure.
คำตัดสินของเรา
Sentry
- top-tier error grouping and stack traces
- Source maps, release tracking, suspect commits
- Generous free tier (5K errors/เดือน) + open-source
- Limited infrastructure/metrics monitoring
- No log management built-in
- Performance tracing is a newer, evolving feature
เจาะลึก: Sentry full analysis
ฟีเจอร์ ภาพรวม
Sentry is purpose-built for tracking application errors. Its intelligent error grouping deduplicates similar issues. Source map support shows the exact line of original code that crashed, not the minified bundle. Release tracking correlates errors to specific deployments. Suspect commits identifies which git commit likely introduced a bug. The Session Replay feature shows what the user was doing when an error occurred. Self-hostable with BSL 1.1 license.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| Developer | $0 | 5K errors/เดือน, 10K transactions, 1 user |
| Team | $26/เดือน | 50K errors/เดือน, 100K transactions, ไม่จำกัด users |
| Business | $80/เดือน | 100K errors/เดือน, ขั้นสูง integrations, SSO |
Who Should เลือก Sentry?
- Development ทีม focused on catching and fixing application bugs
- Frontend ทีม needing source map support and session replay
- Startups wanting a generous free tier for error monitoring
- Teams that want to self-host their error tracking platform
Datadog
- Unified metrics, APM, logs, traces in one platform
- ML-powered alerting and anomaly detection
- 600+ การเชื่อมต่อ — covers every cloud service
- Expensive — มีค่าใช้จ่าย compound quickly with multiple products
- Error tracking less developer-friendly than Sentry
- Billing surprises are common (26% regret rate)
เจาะลึก: Datadog full analysis
ฟีเจอร์ ภาพรวม
Datadog is the leading full-stack observability platform. Infrastructure monitoring ติดตาม servers, containers, and cloud services with 600+ integrations. APM ให้ distributed tracing across microservices. Log management centralizes and analyzes logs at scale. ML-powered alerting detects anomalies automatically. The unified platform lets you correlate a spike in error rates with a specific infrastructure change — something siloed tools can't do easily.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| ฟรี | $0 | 5 hosts, 1-day retention (trial) |
| Pro | $15/host/เดือน | Infrastructure monitoring, 15-month retention |
| Enterprise | $23/host/เดือน | + anomaly detection, custom metrics, SLOs |
Who Should เลือก Datadog?
- DevOps/SRE ทีม managing ซับซ้อน cloud infrastructure
- Organizations needing unified metrics + logs + traces
- Teams that need to correlate application issues with infra changes
- Enterprises with budget for ครอบคลุม observability
Side-by-Side Comparison
| Category | Sentry | Datadog | ผู้ชนะ |
|---|---|---|---|
| Error Tracking | top-tier grouping + context | Good but secondary focus | ✔ Sentry |
| Stack Traces | Excellent with source maps | Good | ✔ Sentry |
| Release Tracking | Suspect commits, deploy correlation | Limited | ✔ Sentry |
| Infrastructure Monitoring | Limited | Core feature — servers, containers, cloud | ✔ Datadog |
| Log Management | Not available | Built-in centralized logging | ✔ Datadog |
| APM/Tracing | Growing feature | Core feature — distributed tracing | ✔ Datadog |
| ฟรี Tier | 5K errors/เดือน — permanent | 14-day trial only | ✔ Sentry |
| Self-Hostable | Yes — open-source (BSL 1.1) | No — SaaS only | ✔ Sentry |
| Alerting | Issue-based alerts | Metric + ML-powered anomaly detection | ✔ Datadog |
| Developer UX | Built for developers — excellent | Good but complex | ✔ Sentry |
| Cost for 10 Devs | ~$260/เดือน (Team plan) | $150-500+/เดือน (infra dependent) | ✔ Sentry |
| การเชื่อมต่อ | 100+ integrations | 600+ integrations | ✔ Datadog |
● Sentry ชนะ 7 · ● Datadog ชนะ 5 · Based on 19,600+ user reviews
Which do you use?
ใครควรเลือกอะไร?
→ เลือก Sentry if:
You care most about tracking application errors, understanding which commits caused bugs, and giving developers actionable stack traces. Sentry is the top-tier tool for developer-centric error monitoring with a generous free tier and self-hosting option.
→ เลือก Datadog if:
You need a unified view of infrastructure metrics, APM traces, logs, and alerts in one platform. Best for DevOps/SRE ทีม managing ซับซ้อน cloud infrastructure where correlating application issues with infrastructure changes is critical.
→ ควรหลีกเลี่ยงทั้งคู่ถ้า:
For budget monitoring, Grafana + Prometheus (free, open-source) จัดการ infrastructure well. For simple uptime monitoring, BetterStack or Pingdom are simpler. Many ทีม use Sentry + Grafana as a cost-effective combo that covers both error tracking and infrastructure.
Best For Different Needs
Also ข้อเสียidered
We evaluated several other tools in this category before focusing on Sentry vs Datadog. Here are the runners-up and why they didn't make our final comparison:
คำถามที่พบบ่อย
ความเห็นบรรณาธิการ
Honest take: these aren't really competitors — they're complementary tools. I've run both in production for years. Sentry tells me "your user hit a null pointer exception in checkout.tsx line 147 after last Tuesday's deploy." Datadog tells me "your API response time spiked because the database host hit 95% CPU." Different questions, different tools. But if I could only pick one? Sentry. Most developers can debug infrastructure issues with พื้นฐาน tools, but nobody catches application errors like Sentry does. Plus, Datadog bills have a way of surprising you — I've seen ทีม go from $500 to $3,000/เดือน without realizing it.
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Our วิธีการวิจัย
We evaluated Sentry and Datadog across 12 categories including error tracking depth, infrastructure monitoring, APM capabilities, log management, ราคา at team scale, developer UX, and free tier generosity. We tested both in production environments with Node.js and Python applications. We analyzed 19,600+ reviews from G2, Gartner Peer Insights, and Stack Overflow. ราคา verified April 2026.
Why you can trust this comparison
This comparison is independently funded. No vendor paid for placement or influenced our scores. Ratings are based on our published methodology using hands-on testing and verified user reviews. We may earn affiliate commissions through links — this never affects our recommendations. Read our full methodology →
Data sources: Official ราคา pages, G2.com, Capterra.com. Prices and ratings verified April 2026. We update our top 50 comparisons monthly. Read our methodology
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