DatriseAI-first ETL

ConvertKit to PostgreSQL Integration

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

How Datrise loads ConvertKit into PostgreSQL

Datrise syncs ConvertKit's subscribers, forms, sequences, tags, broadcasts, and email events 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

ConvertKit: Email marketing built for creators.

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

How ConvertKit entities map to PostgreSQL

ConvertKit entityPostgreSQL objectNotes
subscribersconvertkit_subscribersid PK · custom fields → jsonb columns
formsconvertkit_formsid PK · linked to convertkit_subscribers
sequencesconvertkit_sequencesid PK · linked to convertkit_subscribers
tagsconvertkit_tagsid PK · linked to convertkit_subscribers

FAQ

How does Datrise handle ConvertKit'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 ConvertKit 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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