Datatrail
Use case

Data Incident Management: Detect, Trace, and Resolve Faster

A data incident is the 2am page, the stale dashboard, the exec asking why the number moved. Datatrail shortens the time from alert to root cause from hours to minutes.

See how it works
Read-only Never moves your data
Lineage map
Lineage mapped from query history. Read-only connection.
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Read-only connection. Datatrail never moves or mutates your data.

In short

Data incident management is the process of detecting, triaging, and resolving data issues like stale tables, broken pipelines, and bad values before they reach the business. Datatrail connects to your warehouse read-only, detects freshness SLA misses and schema drift the moment they happen, traces the failure backward through column-level lineage to the upstream root cause, and scopes the blast radius forward so on-call knows what broke, why, and who is affected.

// THE FIT

Why it fits

On-call data engineers and teams who need to cut time-to-resolution on data incidents.

Detect at the source

Freshness and schema-drift alerts fire on the upstream table that actually broke, not on the dashboard that noticed three steps later.

Trace to root cause fast

Lineage walks the incident backward through every transformation so on-call finds the broken source in minutes, not a morning of queries.

Scope the blast radius

See every downstream model and report the incident touches so you can tell stakeholders what is affected before they ask.

Map your lineage, end to end

Connect your warehouse read-only and see your lineage map in minutes. Datatrail never moves or mutates your data.