Compare vs Datadog

Cuitty vs Datadog.

Datadog is a managed all-in-one observability suite. Cuitty is a self-hosted-first, modular admin platform. The honest comparison.

Datadog is the default choice for SaaS-only teams that want one vendor for metrics, traces, logs, and the long tail. It is a credible, mature product with a wide ecosystem and a sales team that will absolutely call you back. We are not pretending otherwise.

Cuitty is a different shape: a modular, self-hosted-first admin platform. The unit is a module — audit, costs, deploys, logs, secrets — each a runnable service exposing the same wire protocol. You own the database, the chain, the disk.

This page is for engineers who already know they need either a managed all-in-one or a modular replaceable stack, and want a fair side-by-side to confirm.

Feature parity

✓ supported · ~ partial · ✗ not supported. Notes link out to the relevant docs where useful.

Capability Cuitty Datadog
Self-hostable
Run on your own infra, your own database, your own disk.
Yes
Docker Compose, Helm, single binary.
No
SaaS only.
Managed SaaS
Yes
Cuitty Cloud, US/EU/AP regions.
Yes
Native, mature.
Metrics + dashboards
Partial Partial
Per-module dashboards; no general PromQL surface yet.
Yes
Industry-standard.
Distributed tracing
Partial Partial
OpenTelemetry pass-through; no built-in trace UI.
Yes
APM is a flagship product.
Audit chain (notarized)
Tamper-evident audit log with weekly Merkle notarization.
Yes
First-class module.
No
Audit logs exist; not notarized.
Identity + RBAC
Yes
BetterAuth + SpiceDB.
Yes
Built-in roles, SAML/OIDC.
Cost / FinOps module
Yes
Native costs module across AWS, GCP, Azure.
Yes
Cloud Cost Management add-on.
Agent-native API surface
Schema-stable wire protocol, idempotency keys, deterministic errors.
Yes
Wire protocol is the contract.
Partial Partial
Public API exists; not designed for autonomous agents.
Modular replacement
Yes
Swap any single module for an external service.
No
Suite-shaped.
Per-seat pricing transparency
Yes
Public pricing page.
Partial Partial
Public list price; many SKUs, contract-driven.
Ecosystem of integrations
Partial Partial
Growing; ~30 integrations at 0.3.
Yes
700+ integrations.

When to choose Datadog

  • You want one SaaS vendor for metrics, traces, logs, RUM, security, and the long tail.
  • You need 700+ pre-built integrations and a sales engineer to help you wire them up.
  • Your runbook discipline lives in PagerDuty + Datadog and you do not want to disturb that.
  • Data residency and the audit chain are not on your top-five list this year.

When to choose Cuitty

  • You need data residency without an enterprise contract — self-host on your own VPC.
  • You want to replace one piece (audit, secrets, costs) without buying a suite.
  • You are building agent-driven workflows and need a wire protocol with idempotency keys and deterministic error codes.
  • You care about a notarized audit chain rather than just an audit log.

Migration path

Migrate Datadog log forwarders to Cuitty

The logs module accepts the OTLP log protocol natively. If you are already shipping to Datadog with Vector, the change is one sink.

vector.yaml yaml
sinks:
  cuitty_logs:
    type: opentelemetry
    inputs: ["app_logs"]
    protocol:
      type: http
      uri: "https://cuitty.example.com/v1/logs"
      headers:
        Authorization: "Bearer ${CUITTY_TOKEN}"
        X-Cuitty-Workspace: "prod"
    encoding:
      codec: json

Verdict

Pick Datadog if you want a single SaaS to outsource everything to. Pick Cuitty if you need data residency, modular replacement, or agent-native control.