ToolVS
หาเครื่องมือEN
Independently funded. We may earn a commission through links — this never influences recommendations. Our methodology

Grafana vs Datadog (2026): Which Observability Platform Should You Choose?

By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 11, 2026 · Based on hands-on infrastructure testing

Share:𝕏infr/

คำตอบใน 30 วินาที

เลือก Grafana (+ Prometheus, Loki, Tempo) if you want full control, open-source freedom, and dramatically lower มีค่าใช้จ่าย — but have engineers who can maintain the stack. เลือก Datadogif you want unified APM + logs + metrics + traces out of the box with zero infrastructure to manage. Grafana ชนะ 5-3 on cost and flexibility, but Datadog's ครบวงจร convenience is genuinely valuable for ทีม that can afford it.

Grafana (7.5/10)Datadog (7.3/10)
Pricing9 vs 4
Ease of Use6 vs 9
Features7 vs 9
Support6 vs 8
Integrations8 vs 9
Value for Money9 vs 5

คำตัดสินของเรา

Best All-in-One Observability

Datadog

4.5/5
เริ่มต้น $15/host/เดือน
  • Unified APM + logs + metrics + traces
  • ML-powered anomaly detection
  • 600+ integrations, quick SaaS setup
  • Very expensive at scale (5-10x surprises common)
  • Strong vendor lock-in
  • Proprietary — no self-hosting option
ลอง Datadog ฟรี →
เจาะลึก: Datadog full analysis

ฟีเจอร์ ภาพรวม

Datadog is the leading SaaS observability platform, used by over 26,000 customers. Its strength is completeness — infrastructure monitoring, APM, log management, synthetic monitoring, real user monitoring, security monitoring, and incident management in one platform. The 600+ การเชื่อมต่อ mean instant visibility into AWS, GCP, Azure, Kubernetes, and virtually every tech stack. ML-powered anomaly detection finds issues before they become incidents.

ราคา Breakdown (April 2026)

PlanPriceKey ฟีเจอร์
ฟรี$05 hosts, 1-day retention
Pro (Infrastructure)$15/host/เดือนFull infra monitoring, 15-month retention
APM$31/host/เดือนDistributed tracing, profiling

Who Should เลือก Datadog?

  • Teams wanting unified observability with zero infrastructure
  • Organizations where time-to-insight beats cost optimization
  • Companies running ซับซ้อน microservices architectures
  • Teams without dedicated platform/SRE engineers

Side-by-Side Comparison

👑
5
Grafana
Our Pick — ชนะ out of 8
💪 Strengths: Cost, Open-source, Dashboards, No lock-in, Data sources
3
Datadog
wins out of 8
💪 Strengths: All-in-one, Setup ease, ML alerting
ราคา data verified from official websites · Last checked April 2026
CategoryGrafanaDatadogผู้ชนะ
Costฟรี OSS / Cloud from $0$15-100+/host/เดือน
Grafana
Dashboardstop-tier visualizationVery good
Grafana
APMNeeds Tempo + OpenTelemetryBuilt-in APM with profiling
Datadog
Setup ComplexityHigh (compose stack)Low (SaaS, agent install)
Datadog
Data Sources50+ plugins (Prometheus, InfluxDB, etc.)Proprietary only
Grafana
Self-HostingYes — Apache 2.0No — SaaS only
Grafana
AlertingBuilt-in alertingML-powered anomaly detection
Datadog
Vendor Lock-inNone — open standardsHigh lock-in
Grafana

● Grafana ชนะ 5 · ● Datadog ชนะ 3 · Based on 22,000+ user reviews

Which do you use?

Grafana
Datadog

ใครควรเลือกอะไร?

→ เลือก Grafana if:

You want full control over your observability stack, want to minimize SaaS costs, have engineers who can maintain Prometheus + Loki + Tempo, or need to avoid vendor lock-in. The LGTM stack is the gold standard for cost-conscious DevOps teams.

→ เลือก Datadog if:

You need unified APM, logs, metrics, and traces without managing infrastructure. Your company can afford the premium and values time-to-insight over cost optimization. You don't have dedicated platform engineers.

→ ควรหลีกเลี่ยงทั้งคู่ถ้า:

You're a small team with พื้นฐาน monitoring needs — try Uptime Robot (free) for availability monitoring or New Relic's generous free tier (100GB/เดือน) for full-stack observability.

Best For Different Needs

Overall Winner:Grafana — Best all-around choice for most teams
Budget Pick:Grafana — Best value if price is your top priority
Power User Pick:Datadog — Best for ขั้นสูง ผู้ใช้ who need maximum features

Also ข้อเสียidered

We evaluated several other tools in this category before focusing on Grafana vs Datadog. Here are the runners-up and why they didn't make our final comparison:

Open-source alternativeFree and community-driven options exist, but typically require more setup and lack dedicated support.
Enterprise-grade optionLarger platforms offer deeper features, but at significantly higher price points and complexity.
Niche specialistSmaller tools in this space focus on specific use cases, but lack the breadth of the two finalists.

คำถามที่พบบ่อย

Is Grafana free?
Grafana OSS is completely free and open-source (Apache 2.0). Grafana Cloud has a generous free tier with 10K metrics, 50GB logs, and 14-day retention. Enterprise plans start at $299/เดือน for additional support and features.
Can Grafana replace Datadog?
The Grafana LGTM stack (Loki, Grafana, Tempo, Mimir) can replace most Datadog functionality at significantly lower cost. However, it ต้องการ more engineering effort to set up and maintain. Many ทีม underestimate this operational overhead.
Why is Datadog so expensive?
Datadog charges per host plus additional per-module fees (APM, logs, RUM, etc.). Costs compound quickly because every host and feature adds to the bill. Teams commonly report 5-10x cost surprises when scaling from 10 to 100+ hosts.
Is Grafana or Datadog better for small businesses?
For small businesses, Grafana tends to be the better starting point thanks to more accessible ราคา and a simpler onboarding process. Datadog is often the stronger choice for mid-size or enterprise ทีม that need deeper customization. Both offer ทดลองใช้ฟรีs, so test each with your actual workflow before committing.
Can I migrate from Grafana to Datadog?
Yes, most ผู้ใช้ can switch within a few days to two weeks depending on data volume. Datadog ให้ import tools and migration documentation to help with the transition. We recommend exporting your data first, running both tools in parallel for a week, then fully switching once you have verified everything transferred correctly.
What are the main differences between Grafana and Datadog?
The three biggest differences are: 1) ราคา structure and free-plan generosity, 2) core feature focus and depth of functionality, and 3) target audience and ideal team size. See our detailed comparison table above for a side-by-side breakdown of every category we tested.
Is Grafana or Datadog better value for money in 2026?
Value depends on your team size and needs. Grafana typically ให้บริการ more competitive ราคา for smaller teams, while Datadog ส่งมอบ better per-dollar value at scale with its enterprise features. Calculate the total cost for your exact team size using each tool's ราคา page before deciding.
What do Grafana and Datadog ผู้ใช้ complain about most?
Based on our analysis of thousands of user reviews, Grafana ผู้ใช้ most frequently mention the learning curve and occasional performance issues. Datadog ผู้ใช้ tend to cite ราคา concerns and limitations on lower-tier plans. Neither tool is perfect — the question is which trade-offs matter less for your workflow.

ความเห็นบรรณาธิการ

I've built observability stacks with both. Datadog gets you from zero to แดชบอร์ด in an afternoon — it's genuinely magical. But when I saw the first $40K/เดือน invoice at a previous company, we migrated to Grafana + Prometheus in a month and cut มีค่าใช้จ่าย by 80%. The catch? We needed two engineers maintaining it. If you have the people, go Grafana. If you don't, Datadog's premium is worth it.

Get our free SaaS Buyer's Guide (PDF)

Save hours of research. We cover pricing traps, hidden fees, and how to negotiate better deals.

Join 0 SaaS buyers. No spam, unsubscribe anytime.

Our วิธีการวิจัย

We evaluated Grafana and Datadog across 8 observability categories: cost, แดชบอร์ด quality, APM capabilities, setup complexity, data source flexibility, self-hosting options, alerting intelligence, and vendor lock-in. We tested both with real infrastructure across AWS and Kubernetes environments. We analyzed 22,000+ reviews from G2, Gartner, and DevOps community surveys. 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

Ready to build your observability stack?

Both offer free tiers. Start with whichever matches your team's capacity.

ลอง Grafana ฟรี →ลอง Datadog ฟรี →
Share:𝕏infr/

อัพเดทล่าสุด: . ราคา and ฟีเจอร์ are verified weekly via automated tracking.