Grafana Cloud and Datadog both promise you a single place to see metrics, logs and traces. They bill in completely different ways, and that difference matters more than any feature checklist. Datadog charges per host per product. Grafana Cloud has a free tier and a flat-ish Pro plan, and the open-source version costs nothing but your time.
Short answer: If you run fewer than about 20 hosts, or you have engineers who are comfortable with Prometheus-style tooling, Grafana (Cloud or self-hosted) will almost certainly cost less. If you run a large Kubernetes estate and want one vendor that handles APM, logs, RUM and security without assembling parts, Datadog earns its price, but only if someone actively manages the bill.
Prices below come from our product database for Grafana and Datadog (last tested May 2026). Observability pricing changes often and both vendors have several usage meters, so check each vendor's pricing page before you budget. This is a framework for comparing, not a quote.
The plans at a glance
| Grafana | Datadog | |
|---|---|---|
| Free | OSS self-hosted (unlimited), or Cloud Free: 3 users, 10K metrics, 50GB logs, 14-day retention | Free: up to 5 hosts, 1-day metric retention, core features |
| Entry paid | Cloud Pro: $29/mo in our database, unlimited users, 13-month retention, SLA | Infrastructure: $15/host/mo (Pro tier) |
| APM | Via Tempo, usage-based | $31/host/mo |
| Logs | Via Loki, usage-based | $0.10/GB ingested plus $0.0025/GB indexed |
| RUM | Faro / Grafana Cloud frontend observability | $1.50 per 1,000 sessions |
| Enterprise | Quote: SSO/SAML, audit logs, data source permissions, 24/7 support | Listed around $23/host in our database, plus ML anomaly detection, SAML SSO; real quotes vary |
One caveat on our own data. Our Grafana entry lists Cloud Pro at $29 a month in the plan table, while another section of the same entry describes it per user. Grafana's actual Cloud billing is usage-based on top of a platform fee, so treat $29 as a starting point and confirm on grafana.com before you commit. Likewise, Datadog's per-host figures vary by plan and billing term.
How Datadog bills, and why it surprises people
Datadog is modular. You pick products and each one has its own meter:
- ▸Infrastructure monitoring: $15 per host per month.
- ▸APM and tracing: $31 per host per month on top.
- ▸Log management: $0.10 per GB ingested, then $0.0025 per GB indexed (the ingestion bill is the surprise).
- ▸RUM: $1.50 per 1,000 sessions.
Do the arithmetic for a modest setup: 20 hosts with infrastructure and APM is 20 x ($15 + $31) = $920 a month before any logs. Add 500GB of logs a month and ingestion alone is another $50, plus indexing. That sounds fine, until a chatty service doubles log volume overnight. The most consistent complaint we see about Datadog is that the bill is predictable until it isn't. Our database notes that a 50-host production environment with APM and log management can reach $5,000 to $10,000 a month.
None of that makes Datadog a bad deal. It makes it a deal that needs an owner. Teams that set log exclusion filters, cap custom metrics and review usage monthly do fine. Teams that install the agent everywhere and forget about it tend to get an unpleasant invoice.
How Grafana Cloud bills
Grafana Cloud leans on the LGTM stack: Loki for logs, Grafana for dashboards, Tempo for traces and Mimir for metrics. The free tier is real. In our testing notes, signup is by email, activates immediately, and needs no credit card. The free allowance covers 3 users, 10K active metric series, 50GB of logs and 14-day retention, which is enough for a small team or a homelab.
Past the free tier, Pro adds unlimited users, longer retention (13 months), higher limits and an SLA. Usage beyond the included amounts is metered, so you can still overspend, but the unit costs are generally lower than Datadog's per-host model, and you aren't paying a per-host tax for every container or VM.
Where this bites: Grafana Cloud's meters (active series, GB of logs, GB of traces) take some learning. High-cardinality metrics, meaning labels with lots of unique values like user IDs, are the classic way to blow up an active series count. Nobody warns you about that until it happens.
The third option: self-hosting Grafana
Grafana OSS is free with no user limit. Pair it with Prometheus, Loki and Tempo and you have a credible observability stack at infrastructure cost only. Our database describes Grafana as having no credible self-hosted alternative at its feature level for visualization.
The real cost is people. Someone has to run Prometheus storage, upgrade Grafana, tune retention, and deal with alerting. Our notes flag that Unified Alerting in Grafana 9 and later broke workflows for teams migrating from the old alerting system, and that sharing dashboards with external stakeholders needs Cloud or Enterprise because OSS is internal only.
A rough rule: if an engineer spends four hours a month on the stack at a loaded cost of $75 an hour, that's $300 a month in labor. Compare it to the Datadog bill you'd otherwise pay. At 5 hosts, self-hosting wins easily (Datadog's free tier might also cover you). At 100 hosts, the labor is small next to a Datadog invoice. In between, the answer depends on how much you value your engineers' attention.
Feature comparison: what you actually get
Where Datadog is stronger
- ▸Kubernetes and container monitoring. Our database calls it best-in-class, and the autodiscovery and pre-built dashboards save days of setup.
- ▸One product, one agent. Metrics, traces, logs, RUM, synthetics and security share the same UI and correlate with each other.
- ▸600+ integrations that mostly work out of the box.
- ▸ML anomaly detection on Enterprise, which cuts alert noise on dynamic infrastructure.
- ▸No infrastructure to run. Fully managed.
Where Grafana is stronger
- ▸Data source flexibility. 100+ connectors: Prometheus, InfluxDB, Elasticsearch, PostgreSQL, CloudWatch and more. Grafana will sit on top of data you already have.
- ▸Cost control. The free tier, the OSS option and lower unit pricing give you real leverage.
- ▸Dashboards. Highly customizable and the community library is huge. Pre-built Proxmox, Docker and Raspberry Pi dashboards import in seconds.
- ▸No lock-in. Prometheus metrics and Grafana JSON are portable. Datadog monitors, dashboards and SLOs are not.
Honest pros and cons
Datadog pros: full-stack in one place; excellent Kubernetes support; polished dashboards and SLO tooling; nothing to host; broad integrations.
Datadog cons: bills compound across products; log ingestion can spike; per-host pricing is hard to forecast on autoscaling fleets; steep learning curve to use it fully; lock-in once monitors are built; unaffordable overkill for small teams.
Grafana pros: generous free tier; OSS costs nothing; huge plugin ecosystem; flexible, beautiful dashboards; portable.
Grafana cons: query languages like PromQL have a real learning curve, because dashboards don't build themselves; self-hosted needs tuning; you may assemble logs, traces and metrics from separate components; some enterprise features (SSO, audit logs, data source permissions) sit behind paid plans.
Privacy and data handling
Both vendors say they don't sell your data. Datadog processes telemetry in its cloud (US or EU regions on AWS/GCP), and its AI features analyze telemetry, though Datadog states customer data isn't used for model training. It holds SOC 2 Type 2, ISO 27001 and FedRAMP certifications. Grafana self-hosted keeps everything on your servers, and our database lists no telemetry on dashboard content. If data residency is strict, self-hosting Grafana is the simplest answer.
Three example teams
A five-person startup, 8 hosts, light logs. Datadog Free covers 5 hosts, so you'd pay for 3 beyond it, but the 1-day metric retention hurts. Grafana Cloud Free probably covers all of it for $0 with 14-day retention. Pick Grafana.
A 25-engineer SaaS company on Kubernetes, 60 hosts, APM wanted. Datadog at $15 + $31 per host is about $2,760 a month before logs. Grafana Cloud Pro plus metered usage will almost certainly be lower, but you'll spend engineering time on setup and alert tuning. If nobody wants that job, Datadog's premium is buying you time.
A homelab or hobby project. Self-host Grafana with Prometheus and Loki. It's free, and the community dashboards will get you running in an afternoon. This is exactly what the Grafana entry in our database recommends for home users.
How to keep either bill under control
- Filter logs before they're ingested. Drop debug logs and health-check noise at the agent, not in the UI.
- Watch metric cardinality. Never put user IDs or request IDs in labels or tags.
- Set usage alerts at 70 and 90 percent of your expected monthly spend.
- Review monthly. Ten minutes on the usage page catches most surprises.
- Negotiate annual commits. Both vendors discount for them, and Datadog in particular is known to negotiate on larger deals.
My recommendation
- ▸Under 10 hosts or on a tight budget: Grafana Cloud Free or self-hosted OSS. Don't pay for observability before you have something worth observing.
- ▸10 to 50 hosts with a capable platform engineer: Grafana Cloud Pro. You'll likely save a meaningful amount over Datadog.
- ▸50+ hosts, Kubernetes-heavy, no appetite to run anything: Datadog, with a named owner for the bill and log exclusion filters from day one.
- ▸Mixed approach: Plenty of teams run Datadog for APM and Grafana on top of Prometheus for infrastructure. It adds complexity but can trim costs.
If you want more background, start with our Datadog pricing breakdown, the Sentry vs Datadog comparison, or the product pages for Grafana and Datadog. Whichever you pick, run a 30-day trial with real traffic before signing anything annual. Observability bills only look cheap in the sales demo.