No operations team
You do not want to run a cluster and storage yourself, and prefer a managed service billed by usage.
Diting vs Datadog
One is full-stack observability in the cloud. The other is a capture and action platform inside your building.
Whether data may leave the network usually decides this in the first round.
Where Datadog fits better
You need an integration market
Integration count is a hard requirement. Diting has 18 protocol families, OTLP and MCP. Long-tail systems need a plugin.
You need mobile and synthetic checks
Android and iOS RUM and synthetic monitoring are out of scope today. Diting covers web session replay.
Line by line
| Question | Diting | Datadog | Who's ahead |
|---|---|---|---|
| Capture and intrusion | |||
| Application changes | None. Capture happens on the host | dd-trace or an auto-instrumentation library | Diting |
| Components to install | One host agent | Host Agent plus in-app libraries | Diting |
| Restart to onboard | No restart | SDK rollout needs a deploy or restart | Diting |
| Old kernels and domestic distros | 3.10 and up, 12 validated distributions | Per the official support matrix | Diting |
| Where protocols are parsed | In the agent, 18 L7 protocol families | Mainly inside the application | Diting |
| Frontend replay injection | Agent injects at nginx or the container layer | Browser SDK | Even |
| Deployment and data ownership | |||
| Self-hosted | Single node, cluster and HA | SaaS delivery | Diting |
| Runs fully disconnected | Install, upgrade, license and AI models ship in the bundle | No | Diting |
| Outbound network | None | Continuous reporting to the vendor cloud | Diting |
| Where data lives | Your own ClickHouse | Vendor cloud | Diting |
| Offline upgrade and rollback | Offline bundle, rollback supported | Not applicable, vendor managed | Diting |
| Offline licensing | Signed file, renewed offline | Subscription, checked online | Diting |
| Observability | |||
| Logs, metrics, traces, topology | One capture, one timeline | Complete | Even |
| Database observability | 6 databases parsed on the wire, no driver | Database monitoring, instance onboarding | Even |
| Kubernetes | 1.26–1.33, 20+ resource pages | Complete | Even |
| Kernel observability | 26 capabilities, 3.10–5.17 | eBPF network and process views | Even |
| Locate and review | |||
| Alerting and impact paths | Topology, impact paths, alerts | Complete, with anomaly detection | Datadog |
| Session replay joins the trail | SQL, trace, log and recording jump into each other | Replay available with RUM enabled | Diting |
| Profiles and kernel hotspots | Profiles and kernel hotspots side by side | Continuous profiler | Even |
| Actions and automation | |||
| Batch runs and terminals | Batch execution, file distribution, remote terminal | Not in the platform; bring another tool | Diting |
| Chaos experiments | 36 actions on the same timeline as signals | Fault injection, enabled separately | Diting |
| CI/CD and app platform | Pipelines, releases, rollback, app platform | CI visibility, no release platform | Diting |
| Security and access | |||
| permission granularity | rbac down to buttons, enforced server side | rbac by resource | Even |
| audit and masking | every action audited; replay input masked | audit trail and sensitive data scanning, needs setup | Diting |
Common questions
- We already run Datadog. How long is a migration?
- It depends on how many boards and alerts move. OTLP and the agent can run in parallel, so start with non-critical services and cut over once the data agrees.
- Really no code change at all?
- No SDK for mainstream runtimes. Custom protocols extend the agent through Wasm plugins, and business code stays untouched.
- What if the kernel is very old?
- There is a compatibility path from 3.10 and every capability is reported individually. What cannot be captured is stated, not faked.
- Does AI still work when the network is cut?
- Models are imported with the bundle. Permissions and audit behave the same, and out-of-scope actions are rejected and logged.
- Where does the data end up?
- In your own ClickHouse. Backup, retention and scaling stay under your control.
Vendor information comes from public vendor pages, checked October 2026. Products and pricing follow their official pages.Datadog docsDatadog pricing
Bring your system in
Tell us what you run: OS, kernel, public network or not, virtual machines or clusters. We will map the path in.