DatriseAI-first ETL

Snapchat Marketing PostgreSQL

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

How Datrise loads Snapchat Marketing into PostgreSQL

Datrise syncs Snapchat Marketing's records, events, and configuration objects 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

Snapchat Marketing: SaaS or API data source for analytics and warehouse sync.

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

How Snapchat Marketing entities map to PostgreSQL

Snapchat Marketing entityPostgreSQL objectNotes
recordssnapchat_marketing_recordsid PK · custom fields → jsonb columns
eventssnapchat_marketing_eventstimestamptz events
configuration objectssnapchat_marketing_configuration_objectsid PK · linked to snapchat_marketing_records

FAQ

How does Datrise handle Snapchat Marketing'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 Snapchat Marketing 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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