k6 Cloud to PostgreSQL Integration

How Datrise loads k6 Cloud into PostgreSQL

Datrise syncs k6 Cloud's test runs, thresholds, checks, metrics, virtual users, and response times 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: Load testing runs and performance thresholds.

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

How k6 Cloud entities map to PostgreSQL

k6 Cloud entity	PostgreSQL object	Notes
test runs	`k6_cloud_test_runs`	id PK · custom fields → jsonb columns
thresholds	`k6_cloud_thresholds`	id PK · linked to k6_cloud_test_runs
checks	`k6_cloud_checks`	id PK · linked to k6_cloud_test_runs
metrics	`k6_cloud_metrics`	id PK · linked to k6_cloud_test_runs

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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