DatriseAI-first ETL

RD Station Marketing to DuckDB Integration

AI-first ETL from RD Station Marketing into DuckDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station Marketing into DuckDB

Datrise syncs RD Station Marketing's leads, conversions, landing pages, emails, segmentations, and funnel stages 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

RD Station Marketing: Inbound marketing automation for Latin American teams.

DuckDB: In-process analytics database for fast local OLAP.

How RD Station Marketing entities map to DuckDB

RD Station Marketing entityDuckDB objectNotes
leadsrd_station_marketing_leadsid PK · custom fields → JSON or STRUCT columns
conversionsrd_station_marketing_conversionsid PK · linked to rd_station_marketing_leads
landing pagesrd_station_marketing_landing_pagesid PK · linked to rd_station_marketing_leads
emailsrd_station_marketing_emailsid PK · linked to rd_station_marketing_leads

FAQ

How does Datrise handle RD Station Marketing'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 RD Station Marketing 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

Early access

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