"Should we use Grafana or Datadog?" is one of the most common questions we hear from engineering leaders, usually after a Datadog renewal quote or after self-hosted Prometheus and Grafana became too much work.
This Grafana vs Datadog comparison is written from hands-on experience. Crozaint works with both, and builds its observability practice primarily on Grafana Cloud. We will be transparent about the trade-offs.
What is Datadog?
Datadog is a SaaS monitoring and security platform covering infrastructure monitoring, APM, log management, real user monitoring, synthetics, security and more. It uses a proprietary agent (with OpenTelemetry support) and a large integration catalogue. Its strength is a unified, polished experience that works quickly.
What is Grafana Cloud?
Grafana Cloud is Grafana Labs' managed observability platform. It combines Grafana for visualisation with Mimir (metrics), Loki (logs), Tempo (traces) and Pyroscope (profiles), plus alerting, incident management, synthetic monitoring, frontend observability and machine learning features. It is built around open standards: Prometheus and OpenTelemetry. Read more in our LGTM stack guide.
Grafana vs Datadog: feature comparison
| Factor | Grafana Cloud | Datadog |
|---|---|---|
| Foundation | Open-source projects, managed | Proprietary SaaS |
| Instrumentation | OpenTelemetry, Prometheus native | Datadog agent, OpenTelemetry supported |
| Pricing model | Usage-based (series, GB, traces) | Per host plus per-product and usage add-ons |
| Lock-in | Low: open formats, self-host option | Higher: proprietary agent and query language |
| Out-of-box experience | Good, more configuration needed | Excellent, very fast to start |
| Data sources | Queries many sources in place | Primarily data sent to Datadog |
| AI/ML features | Grafana Assistant (with Assistant Investigations), Sift, machine learning features | Watchdog, Bits AI (including the Bits AI SRE agent) |
| Deployment options | Cloud, self-managed, hybrid | SaaS (self-hosted log management, CloudPrem, in preview) |
Features in both platforms change frequently. Check current product pages before deciding.
Grafana Cloud usage pricing vs Datadog per-host pricing
Illustration in progress
How do Grafana and Datadog pricing compare?
The pricing models differ more than the list prices.
- Datadog charges per host for infrastructure and APM, plus usage for logs, custom metrics and other products. Costs can rise sharply with container density, high-cardinality custom metrics and log volume.
- Grafana Cloud charges by usage: active metric series, log and trace volume and users, with a free tier. Teams can control cost by managing cardinality and retention, and by sending verbose logs to cheaper storage.
In our experience, organisations with large log volumes, many custom metrics or Kubernetes-heavy environments often see the biggest cost difference. Model your own usage before deciding. See our guide to reducing observability costs.
The pricing models differ more than the list prices.
When is Datadog the better choice?
- You want the fastest possible time-to-value with minimal configuration
- Your team prefers one vendor for monitoring, security and APM
- Your environment is moderate in size and cost is not the main concern
- You do not want to manage any observability infrastructure decisions
When is Grafana Cloud the better choice?
- You want to avoid vendor lock-in and standardise on OpenTelemetry
- Observability costs are growing faster than your infrastructure
- You already use Prometheus and Grafana and want to stop self-hosting
- You need data residency options or a hybrid deployment
- You want to query existing data sources without moving all data
Can you migrate from Datadog to Grafana without downtime?
Yes, with a parallel approach. Instrument with OpenTelemetry, send telemetry to both platforms during transition, rebuild critical dashboards and alerts, validate, then switch off the old platform. No forced rip-out is required.
Migrating from Datadog to Grafana with OpenTelemetry
Illustration in progress
How Crozaint approaches the decision
Crozaint's observability practice is built on Grafana Cloud, delivered in an 8-week engagement that ends with your team owning the platform. We use OpenTelemetry for vendor-neutral instrumentation, so you are never locked into any single backend, including Grafana.
We do not force a rip-out of existing tools. Migrations run in parallel, and we will tell you honestly if your current platform is the right fit. Grafana Cloud is a commercial product, not pure open source, and we are upfront about that in every engagement.
Common mistakes to avoid
- Comparing list prices instead of modelling real usage
- Migrating without OpenTelemetry, recreating lock-in
- Switching platforms but keeping the same noisy alerts
- Underestimating dashboard and alert migration effort
- Ignoring team skills and training needs
Conclusion
Datadog wins on immediacy. Grafana Cloud wins on openness and cost control. Whichever you choose, standardise on OpenTelemetry so the decision stays reversible.
Weighing a Datadog renewal? Book a 30-minute discovery call and we will model the options with you.
