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Prometheus vs Grafana (2026): Which Monitoring Tool Should You Choose?

By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 11, 2026 · Based on production monitoring experience

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คำตอบใน 30 วินาที

Prometheus and Grafanaare complementary tools, not competitors — most production monitoring stacks use both. Prometheus is the metrics database: it scrapes, stores, and alerts on time-series data with PromQL. Grafana is the visualization layer: it connects to 60+ data sources and turns metrics into beautiful dashboards. The industry standard is running them together. Grafana ชนะ 5-2 in our comparison, but that's because it covers a broader scope.

Prometheus (7.5/10)Grafana (8.5/10)
Pricing9 vs 9
Ease of Use6 vs 8
Features8 vs 9
Support6 vs 7
Integrations7 vs 9
Value for Money9 vs 9

คำตัดสินของเรา

Best Metrics Collection & Alerting Engine

Prometheus

4.6/5
ฟรี (open source)
  • PromQL — the industry-standard metrics query language
  • Alertmanager for production-grade alerting
  • Native Kubernetes monitoring (CNCF graduated)
  • Basic expression browser — needs Grafana for dashboards
  • Metrics only — no logs or traces
  • Limited built-in long-term storage
Get Prometheus →
เจาะลึก: Prometheus full analysis

ฟีเจอร์ ภาพรวม

Prometheus is the CNCF-graduated standard for metrics collection and storage. Its pull-based scraping model efficiently collects metrics from thousands of targets, and PromQL ให้ ทรงพลัง time-series queries that are the foundation of Kubernetes-native monitoring. Alertmanager จัดการ production-grade alert routing, grouping, and silencing. Over 300 exporters cover nearly every service and database.

ราคา Breakdown (April 2026)

OptionPriceKey ฟีเจอร์
Self-hosted$0Full metrics collection, PromQL, Alertmanager
Cortex/Thanos$0 (infra costs)Long-term storage, high availability
Grafana Mimir$0 (Cloud) / infraPrometheus-compatible long-term storage

Who Should เลือก Prometheus?

  • Teams running Kubernetes that need native metrics scraping
  • Organizations that want the industry-standard query language (PromQL)
  • Infrastructure ทีม needing production-grade alerting
  • Anyone building a metrics pipeline for cloud-native applications

Side-by-Side Comparison

2
Prometheus
wins out of 7
💪 Strengths: Query language, Alerting
👑
5
Grafana
Our Pick — ชนะ out of 7
💪 Strengths: Data sources, Dashboards, Logs, Managed cloud, Ease of use
ราคา data verified from official websites · Last checked April 2026
CategoryPrometheusGrafanaผู้ชนะ
Data SourcesSelf — scrapes your services60+ data sources (Prometheus, Loki, etc.)
Grafana
Query LanguagePromQL — ทรงพลัง time-series queriesUses source query languages
Prometheus
AlertingAlertmanager — production-gradeGrafana Alerting — visual alert creation
Prometheus
DashboardsBasic expression browserBeautiful, shareable dashboards
Grafana
LogsMetrics onlyGrafana Loki — logs alongside metrics
Grafana
Managed CloudCortex, Thanos (self-managed)Grafana Cloud — fully managed stack
Grafana
Ease of SetupModerate — config file-basedEasy — visual UI, import dashboards
Grafana

● Prometheus ชนะ 2 · ● Grafana ชนะ 5 · Based on 12,000+ user reviews

Which do you use?

Prometheus
Grafana

ใครควรเลือกอะไร?

→ Use Grafana for:

Building แดชบอร์ด that visualize your Prometheus metrics, correlating metrics with logs (Loki) and traces (Tempo), sharing แดชบอร์ด with your team, and creating alert rules with a visual editor. Grafana Cloud is the easiest way to get started with the full observability stack.

→ Use Prometheus for:

Collecting metrics from your applications via /metrics endpoints, Kubernetes cluster monitoring with kube-state-metrics and node-exporter, and production alerting rules via Alertmanager. Prometheus's PromQL is the foundation of the entire CNCF observability ecosystem.

→ ควรหลีกเลี่ยงทั้งคู่ถ้า:

You want an ครบวงจร SaaS solution without any setup — try Datadog or New Relic. For simple uptime monitoring only, Uptime Robot or Better Stack are simpler and cheaper options.

Best For Different Needs

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

Also ข้อเสียidered

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

VS CodeThe most popular code editor with vast extensions, but can become slow with many plugins.
JetBrains IDEstop-tier language-specific features, but heavy on system resources and expensive.
NeovimUltimate keyboard-driven editor for power users, but steep learning curve.

คำถามที่พบบ่อย

Is Prometheus or Grafana better for monitoring?
They serve different roles — Prometheus collects and stores metrics, Grafana visualizes them. Most production stacks use both together. If you can only pick one, Prometheus จัดการ the data layer (essential) and Grafana จัดการ the presentation layer (important but optional at small scale).
Do I need both Prometheus and Grafana?
For serious production monitoring, yes — they are designed to work together. Grafana Cloud ให้บริการ a fully managed version of both (plus Loki for logs and Tempo for traces) with a generous free tier, making it the easiest way to get the full stack.
Is Grafana Cloud worth it vs self-hosting?
If your team doesn't have a dedicated SRE, Grafana Cloud removes significant operational overhead. The free tier (10K metrics, 50GB logs) is genuinely useful. Self-hosting gives you full control but ต้องการ ongoing maintenance of Prometheus, Grafana, and their storage backends.
Can I migrate from Prometheus to Grafana?
Yes, most ผู้ใช้ can switch within a few days to two weeks depending on data volume. Grafana 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 Prometheus and Grafana?
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.
What do Prometheus and Grafana ผู้ใช้ complain about most?
Based on our analysis of thousands of user reviews, Prometheus ผู้ใช้ most frequently mention the learning curve and occasional performance issues. Grafana 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

Stop debating this one — you need both. I've never seen a production Kubernetes stack that runs Prometheus without Grafana on top. The real question is self-hosted vs Grafana Cloud. If you've got an SRE team, self-host everything. If you're a startup where engineers wear 5 hats, Grafana Cloud's free tier is legitimately great and ช่วยประหยัด you weeks of setup.

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Our วิธีการวิจัย

We evaluated Prometheus and Grafana across 7 monitoring categories: data sources, query language, alerting, dashboards, log support, managed cloud options, and ease of setup. We tested both in Kubernetes environments with 100+ services. We analyzed 12,000+ reviews from G2, Reddit, and CNCF 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 monitoring stack?

Both are free and open source. Start with Grafana Cloud for the easiest setup.

ลอง Grafana ฟรี →Get Prometheus →
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อัพเดทล่าสุด: . ราคา and ฟีเจอร์ are verified weekly via automated tracking.

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