How Provenance compares

Not a replacement for your observability stack. A layer above it that connects the dots and takes action.

Logging & Observability

vs ELK, Splunk, Datadog Logs
They do

Collect and search log lines. Great for debugging after the fact.

Provenance does

Record structured interactions with causal links. Know not just what happened, but why — and react automatically.

Logs are passive. You search them after something breaks. Provenance acts the moment something matters.

Distributed Tracing

vs Jaeger, Zipkin, OpenTelemetry
They do

Trace request paths across services. Show latency and call graphs.

Provenance does

Trace interactions with business context — not just HTTP calls, but the business events they represent. Link cause to consequence.

Traces show you the path. Provenance shows you the story.

APM & Metrics

vs Datadog APM, New Relic, Grafana
They do

Monitor performance metrics, error rates, and infrastructure health.

Provenance does

Track business-level interactions with custom analytics, alerting, and automated reactions — all from one API.

APM tells you your p99 is high. Provenance tells you which customer was affected and notifies them.

Audit Trail Tools

vs Custom audit tables, compliance tools
They do

Record who did what for compliance. Usually read-only, append-only logs.

Provenance does

An audit trail that's also an event bus. Every recorded interaction can trigger alerts, workflows, and notifications.

Traditional audit trails are dead data. Provenance is a living system.

Event Buses

vs Kafka, RabbitMQ, EventBridge
They do

Route events between services. Require you to build consumers, handle retries, manage dead letters.

Provenance does

Record events AND route them — with built-in subscribers, retry logic, and delivery adapters for Slack, email, webhooks, and more.

Event buses move data. Provenance moves data and remembers everything.

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