Contentful to DuckDB Integration
AI-first ETL from Contentful into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Contentful into DuckDB
Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Contentful: Headless CMS for structured content delivery.
DuckDB: In-process analytics database for fast local OLAP.
How Contentful entities map to DuckDB
| Contentful entity | DuckDB object | Notes |
|---|---|---|
| entries | contentful_entries | id PK · custom fields → JSON or STRUCT columns |
| content types | contentful_content_types | id PK · linked to contentful_entries |
| assets | contentful_assets | id PK · linked to contentful_entries |
| spaces | contentful_spaces | id PK · linked to contentful_entries |
FAQ
How does Datrise handle Contentful's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Contentful to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Contentful
Early access
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