DatriseAI-first ETL

Taboola to PostgreSQL Integration

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

How Datrise loads Taboola into PostgreSQL

Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions 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

Taboola: Content recommendation and native advertising.

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

How Taboola entities map to PostgreSQL

Taboola entityPostgreSQL objectNotes
campaignstaboola_campaignsid PK · custom fields → jsonb columns
campaign itemstaboola_campaign_itemsid PK · linked to taboola_campaigns
sitestaboola_sitesid PK · linked to taboola_campaigns
spendtaboola_spendid PK · linked to taboola_campaigns

FAQ

How does Datrise handle Taboola'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 Taboola 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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