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It's a split decision.
Grafana is the better fit for developers who want to bring existing telemetry into a platform built around OpenTelemetry and Prometheus, with a free tier and usage-based costs. Datadog fits teams looking for one platform spanning observability, security, digital experience and software delivery. Compare the scope of your workloads before comparing prices: Grafana publishes product-level usage rates, while the Datadog price listed here covers AI Credits, not a general observability plan.
01Side by side
| Grafana | Datadog | |
|---|---|---|
| Pricing model | $19/month Pro platform fee, plus usage | $500 per 500 AI Credits/month, billed annually |
| Free tier | $0; 10k active series and 50 GB/month listed | No free plan listed |
| Open source and license | Open source; confirm the component's license | Open-source status and license terms require confirmation |
| Integrations | OpenTelemetry, Prometheus and hundreds of plugins | AWS, Azure, Google Cloud, Kubernetes, OpenTelemetry, OpenAI, SAP |
| Platforms | Web | Web |
| Limits and scaling | Free quotas; Pro usage billed above included allowances | AI Credits: 500 monthly; $1.30 per on-demand credit |
| Lock-in and data export | Open standards; connect existing tools without rip-and-replace | Integrated platform; confirm export and migration terms |
| Deployment model | Grafana Cloud; Enterprise offers public, federal or BYOC | Integrated platform; confirm deployment choices |
Grafana Choose Grafana if
- Choose Grafana if you want to start with a free telemetry tier.
- Choose Grafana if your stack uses OpenTelemetry or Prometheus.
- Choose Grafana if you want published product-level usage rates.
Datadog Choose Datadog if
- Choose Datadog if you want observability and security in one platform.
- Choose Datadog if you need digital experience and software delivery tools.
- Choose Datadog if its named cloud and software integrations match your stack.
02Pricing at real usage
Grafana's Free plan costs $0 and includes 14-day retention for metrics, logs, traces, profiles and k6, plus 10k active metric series and 50 GB/month for logs, traces and profiles. Pro starts with a $19/month platform fee; usage above included allowances is pay-as-you-go. The pricing page lists Metrics Pro from $6.50 per 1k series, Logs Pro at $0.050/GB processed, and traces and profiles at $0.05/GB processed, with separate write and retention charges. Compute-related products have their own rates, such as Kubernetes Monitoring at $0.01/host hour. Datadog's listed AI Credits plan is $500 for 500 credits per month when billed annually; on-demand credits cost $1.30 each. Those credits cover Bits Chat, Bits Investigation and Bits Code. This is not a directly comparable general observability quote, so ask Datadog for pricing against your telemetry and product requirements.
03API, SDKs and integration
Grafana Cloud connects existing tools and data sources through open standards, including OpenTelemetry and Prometheus, and lists hundreds of plugins and integrations. Its product overview also describes dashboards, visualization and a Knowledge Graph that brings telemetry signals into shared context. Datadog lists integrations including AWS, Azure, Google Cloud, Kubernetes, OpenTelemetry, OpenAI and SAP, alongside products for infrastructure, applications, data, logs, security and software delivery. Neither vendor's product overview specifies API styles, SDK languages or CLI commands. If your integration depends on a particular endpoint, language SDK, authentication flow or command-line workflow, check the vendor's current developer documentation before committing. For either platform, verify how existing instrumentation and data sources map to the product, what data can be exported, and whether integrations cover the services your team operates. Grafana's open-standard positioning supports connecting existing tools, but it is not itself a data-export guarantee.
04Open source, self-hosting and lock-in
Grafana is open source, but confirm the license for the specific Grafana component you plan to use. Grafana Cloud is the hosted option described for the platform; Enterprise lists Public Cloud, Federal Cloud and Bring Your Own Cloud deployment choices. BYOC is not, by itself, a claim that every component can be self-hosted. Datadog presents an integrated platform, but its product overview does not specify an open-source license or self-hosting option. Ask both vendors about data export formats, retention after cancellation, and migration support before storing operational data in either service. Grafana's support for OpenTelemetry and Prometheus and its connection to existing tools can reduce the need to replace instrumentation, but moving dashboards, alerting rules, workflows and historical data may still require work. Confirm those export and migration paths against the components and services in your stack.
Questions people ask
What are the key differences between Splunk and Grafana?
Grafana brings telemetry into Grafana Cloud, with OpenTelemetry and Prometheus support, dashboards and a free tier with published quotas. A detailed Splunk comparison depends on the Splunk products and deployment you are considering. Compare data sources, retention, query workflows, alerting and the cost of ingesting your expected volume.
Which database is best for Grafana?
There is no single best database for every Grafana deployment. Choose based on the telemetry you store, query patterns, retention needs and operational requirements. Grafana connects existing tools and data sources, so verify that your chosen database is supported by the integrations and workflows your team needs before building around it.
Does Datadog do network monitoring?
Yes. Datadog lists Network Monitoring as part of its infrastructure products, alongside infrastructure, container, Kubernetes and serverless monitoring. Check the product's current documentation and pricing for the network features, telemetry volume and deployment requirements that fit your environment.
Why is Datadog so successful?
A single explanation for Datadog's success cannot be established from its product scope alone. The platform brings observability, security, digital experience, software delivery and service management together, and lists integrations with major cloud providers and other tools. Teams evaluating it should weigh that breadth against product-level costs and the effort of managing telemetry.