DatriseAI-first ETL

Aws Cloudtrail Supabase

AI-first ETL from Aws Cloudtrail into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Aws Cloudtrail into Supabase

Datrise syncs Aws Cloudtrail's records, events, and configuration objects into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Aws Cloudtrail: SaaS or API data source for analytics and warehouse sync.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Aws Cloudtrail entities map to Supabase

Aws Cloudtrail entitySupabase objectNotes
recordsaws_cloudtrail_recordsid PK · custom fields → jsonb columns
eventsaws_cloudtrail_eventstimestamptz events
configuration objectsaws_cloudtrail_configuration_objectsid PK · linked to aws_cloudtrail_records

FAQ

How does Datrise handle Aws Cloudtrail's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Aws Cloudtrail to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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