DatriseAI-first ETL

K6 Cloud PostgreSQL

AI-first ETL from K6 Cloud into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads K6 Cloud into PostgreSQL

Datrise syncs K6 Cloud's records, events, and configuration objects into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

K6 Cloud: SaaS or API data source for analytics and warehouse sync.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How K6 Cloud entities map to PostgreSQL

K6 Cloud entityPostgreSQL objectNotes
recordsk6_cloud_recordsid PK · custom fields → jsonb columns
eventsk6_cloud_eventstimestamptz events
configuration objectsk6_cloud_configuration_objectsid PK · linked to k6_cloud_records

FAQ

How does Datrise handle K6 Cloud's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the K6 Cloud to PostgreSQL sync stay up to date?

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

Related pipelines

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