Sailthru to DuckDB Integration

How Datrise loads Sailthru into DuckDB

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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

Sailthru: Personalized email and onsite content targeting.

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

How Sailthru entities map to DuckDB

Sailthru entity	DuckDB object	Notes
users	`sailthru_users`	id PK · custom fields → JSON or STRUCT columns
campaigns	`sailthru_campaigns`	id PK · linked to sailthru_users
blasts	`sailthru_blasts`	id PK · linked to sailthru_users
message events	`sailthru_message_events`	TIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Sailthru'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 Sailthru 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

Connect Sailthru to DuckDB the easy way

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