Grafana vs Datadog: Which MCP should you use?
Grafana
Open-source observability dashboards
Datadog
Full-stack observability platform
TL;DR
Grafana is the open-source dashboard king, paired with Prometheus/Loki/Tempo (the LGTM stack). Datadog is the polished managed alternative — faster to deploy, easier to use, much more expensive. Grafana LGTM wins on cost and flexibility; Datadog wins on time-to-value and enterprise support.
Pick Grafana
Pick Grafana (LGTM stack) when you want open-source, cost control, or on-prem.
Pick Datadog
Pick Datadog when you want zero-ops observability and your team is small or time-constrained.
Feature-by-feature comparison
| Feature | 📊Grafana | 🐕Datadog | Winner |
|---|---|---|---|
| Cost at 100 hosts | ~$0 self-host + infra | ~$3000-8000/mo | A |
| Open source | Yes (AGPLv3 core) | No | A |
| Setup time | 1-5 days | Minutes per agent | B |
| Log search UX | Loki (LogQL) | Very polished | B |
| APM | Tempo (traces) | Datadog APM (mature) | B |
| Managed option | Grafana Cloud | Datadog SaaS | Tie |
| Alerting | Strong (Grafana Alerting) | Strong, more features | B |
| Plugin ecosystem | Huge community | Huge (400+ integrations) | Tie |
Cost at 100 hosts
AGrafana
~$0 self-host + infra
Datadog
~$3000-8000/mo
Open source
AGrafana
Yes (AGPLv3 core)
Datadog
No
Setup time
BGrafana
1-5 days
Datadog
Minutes per agent
Log search UX
BGrafana
Loki (LogQL)
Datadog
Very polished
APM
BGrafana
Tempo (traces)
Datadog
Datadog APM (mature)
Managed option
TieGrafana
Grafana Cloud
Datadog
Datadog SaaS
Alerting
BGrafana
Strong (Grafana Alerting)
Datadog
Strong, more features
Plugin ecosystem
TieGrafana
Huge community
Datadog
Huge (400+ integrations)
Best for
Grafana
- Cost at 100 hosts: ~$0 self-host + infra
- Open source: Yes (AGPLv3 core)
Best for
Datadog
- Setup time: Minutes per agent
- Log search UX: Very polished
- APM: Datadog APM (mature)
- Alerting: Strong, more features
Migration path
Datadog → Grafana: install the Grafana Agent / Alloy, point it at Prometheus and Loki endpoints, rebuild dashboards (Datadog JSON exports don't port directly — use grafana-dashboards conversion scripts as a starting point). Grafana → Datadog: install dd-agent everywhere, enable autodiscovery, and rebuild dashboards in Datadog's query syntax.
Frequently asked questions
What is the main difference between Grafana and Datadog?
Grafana is the open-source dashboard king, paired with Prometheus/Loki/Tempo (the LGTM stack). Datadog is the polished managed alternative — faster to deploy, easier to use, much more expensive. Grafana LGTM wins on cost and flexibility; Datadog wins on time-to-value and enterprise support. In short: Grafana — Open-source observability dashboards. Datadog — Full-stack observability platform.
When should I pick Grafana over Datadog?
Pick Grafana (LGTM stack) when you want open-source, cost control, or on-prem.
When should I pick Datadog over Grafana?
Pick Datadog when you want zero-ops observability and your team is small or time-constrained.
Can I migrate from one to the other?
Datadog → Grafana: install the Grafana Agent / Alloy, point it at Prometheus and Loki endpoints, rebuild dashboards (Datadog JSON exports don't port directly — use grafana-dashboards conversion scripts as a starting point). Grafana → Datadog: install dd-agent everywhere, enable autodiscovery, and rebuild dashboards in Datadog's query syntax.
Do Grafana and Datadog both work with MCP-compatible AI agents?
Yes. Both have MCP servers installable via MCPizy (mcpizy install grafana and mcpizy install datadog). They work identically across Claude Code, Claude Desktop, Cursor, Windsurf, and any other MCP-compatible client. You can install both side by side and route queries in your agent's prompt.
More Monitoring & Observability comparisons
Sentry vs Datadog
Sentry is a developer-first error + performance tracker — excellent for 'why did this deploy break?'. Datadog is a full-stack observability platform — infra metrics, APM, logs, RUM, security, and ~30 more products. Most teams use Sentry for app errors and Datadog (or competitors) for infra.
Grafana vs Prometheus
Not competitors — they're paired. Prometheus is the time-series database and scraper. Grafana is the dashboarding UI. You run both: Prometheus collects and stores metrics, Grafana visualizes them. Grafana also supports Loki (logs), Tempo (traces), Elasticsearch, and 100+ other data sources.
Sentry vs Rollbar
Both are error-tracking services. Sentry has broader features (performance monitoring, session replay, profiling, release tracking, feedback widgets) and bigger developer mindshare. Rollbar is simpler, competitively priced, and good enough for most teams that only want errors.
Install both with MCPizy
Not sure? Run both side by side — swap between them in your AI agent with a single config line.