DatriseAI-first ETL

CircleCI to Neon Integration

AI-first ETL from CircleCI into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads CircleCI into Neon

Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

CircleCI: Continuous integration and delivery pipelines.

Neon: Serverless Postgres destination with branching and autoscaling.

How CircleCI entities map to Neon

CircleCI entityNeon objectNotes
pipelinescircle_ci_pipelinesid PK · custom fields → jsonb columns
workflowscircle_ci_workflowsid PK · linked to circle_ci_pipelines
jobscircle_ci_jobsid PK · linked to circle_ci_pipelines
buildscircle_ci_buildsid PK · linked to circle_ci_pipelines

FAQ

How does Datrise handle CircleCI's custom fields in Neon?

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 Neon types.

How does the CircleCI to Neon sync stay up to date?

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

Related pipelines

Early access

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