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It's a split decision.
Choose Dash0 if your team already uses OpenTelemetry and wants to store signals in its cloud, query them with PromQL or SQL, and pay by ingested and stored usage. Its 14-day unlimited trial gives teams a way to evaluate the platform. Choose Datadog if you want observability alongside security, digital experience, software delivery and service management. Compare telemetry pricing directly with your workload: the published Datadog price here covers AI credits, not a general observability bill.
01Side by side
| Dash0 | Datadog | |
|---|---|---|
| Pricing model | Usage-based ingestion and storage pricing | AI credits priced monthly or on-demand |
| Free access | 14-day unlimited free trial | No free plan listed |
| API and SDKs | OpenTelemetry-compatible tools, agents, SDKs; API access | OpenTelemetry integration; verify API and SDK requirements |
| CLI and docs | CLI and documentation portal | Confirm CLI and documentation needs |
| Integrations | OpenTelemetry-compatible ecosystem | AWS, Azure, Google Cloud, Kubernetes, OpenAI, SAP |
| Platforms | Web | Web |
| Lock-in and data portability | OpenTelemetry-native signals; data stored in your cloud | OpenTelemetry integration; export terms need confirmation |
| Limits and scaling | Per-signal rates and retention periods published | AI credit allowance and on-demand rate published |
Dash0 Choose Dash0 if
- Choose Dash0 if you build around OpenTelemetry-compatible tools and SDKs.
- Choose Dash0 if PromQL, SQL, CLI and API access fit your workflow.
- Choose Dash0 if you want usage-based signal pricing and cloud storage.
Datadog Choose Datadog if
- Choose Datadog if one platform for observability and security is a priority.
- 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
Dash0 has no free plan, but its pricing page lists a 14-day unlimited free trial with no credit card required. After that, costs depend on signal volume and retention: spans, logs and web events cost $0.060 per million ingested and $0.540 per million stored, with 30-day retention. Metric data points cost $0.020 per million ingested and $0.180 per million stored, with 13-month retention. Synthetic API checks are $0.20 per thousand stored; session replays are $2.00 per thousand stored. Agent0 Credits are $0.60 per credit, metered monthly. Datadog lists AI Credits at $500 per 500 credits per month when billed annually, or $1.30 per credit on-demand. That package includes Bits Chat, Bits Investigation and Bits Code. Datadog lists no free plan. Its AI price is not a like-for-like estimate for full observability; model your telemetry separately.
03API, SDKs and integration
Dash0 is built for OpenTelemetry-compatible tools, agents and SDKs. Its listed interfaces include PromQL, SQL, a CLI and API access, which gives teams several ways to query signals and manage the platform. The site has a documentation portal; confirm the exact SDK packages and API operations your codebase needs before committing. Datadog lists integrations with AWS, Azure, Google Cloud, Kubernetes, OpenTelemetry, OpenAI and SAP. Its product scope includes infrastructure, application performance monitoring, logs, security, digital experience and software delivery, so integration work may span more than telemetry collection. The published integration names do not specify language-by-language SDK coverage or CLI workflows. Check the vendor documentation for the APIs, SDKs and authentication methods relevant to your deployment. Both products support web access. Dash0's OpenTelemetry focus is the clearer fit when you want vendor-neutral instrumentation; Datadog's named ecosystem is broader across cloud, security and delivery products.
04Open source, self-hosting and lock-in
Neither vendor publishes an open-source licence or self-hosting option in the product details here, so teams requiring either should confirm availability and terms directly. Dash0 says SignalStore stores OpenTelemetry-native signals in your cloud, and its product positioning emphasizes portable data. That may help preserve options at the data and instrumentation layers, but it does not establish a specific export format, migration path or guarantee that dashboards and rules transfer. Datadog lists OpenTelemetry among its integrations, which can support instrumenting services without making every application depend on a vendor-specific agent. The product details do not specify export formats or migration tooling. Before rollout, ask both vendors how to export raw telemetry, dashboards, alert rules and historical data, and what charges or retention limits apply during migration.
Questions people ask
Is Dash0 cheaper than Datadog?
The published prices cover different things. Dash0 lists per-million ingestion and storage rates for telemetry. Datadog lists a $500 monthly annual-billed AI Credits package for 500 credits, plus $1.30 per on-demand credit. Compare estimates using your expected signal volume, retention and AI credit use.
Does Dash0 offer a free plan?
Dash0 does not list a permanent free plan. Its pricing page lists a 14-day unlimited free trial with no credit card required. Datadog also lists no free plan; check its current terms directly if a trial is a requirement.
Can Dash0 work with an OpenTelemetry stack?
Yes. Dash0 describes itself as OpenTelemetry-native and says it works with OpenTelemetry-compatible tools, agents and SDKs. It also lists PromQL, SQL, CLI and API access. Confirm specific SDK packages and operations against your instrumentation and deployment needs.
Which platform has broader product coverage?
Datadog lists products across observability, security, digital experience, software delivery and service management. Dash0 focuses on observability, AI software development insights and production automation on an OpenTelemetry-native platform. Pick based on which capabilities you need to operate in one platform.