CircleCI to PostgreSQL Integration

How Datrise loads CircleCI into PostgreSQL

Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts 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

CircleCI: Continuous integration and delivery pipelines.

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

How CircleCI entities map to PostgreSQL

CircleCI entity	PostgreSQL object	Notes
pipelines	`circle_ci_pipelines`	id PK · custom fields → jsonb columns
workflows	`circle_ci_workflows`	id PK · linked to circle_ci_pipelines
jobs	`circle_ci_jobs`	id PK · linked to circle_ci_pipelines
builds	`circle_ci_builds`	id PK · linked to circle_ci_pipelines

FAQ

How does Datrise handle CircleCI'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 CircleCI 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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