DatriseAI-first ETL

Contentful to PostgreSQL Integration

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

How Datrise loads Contentful into PostgreSQL

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish 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

Contentful: Headless CMS for structured content delivery.

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

How Contentful entities map to PostgreSQL

Contentful entityPostgreSQL objectNotes
entriescontentful_entriesid PK · custom fields → jsonb columns
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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

Early access

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