DatriseAI-first ETL

Tiktok Ads Neon

AI-first ETL from Tiktok Ads into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Tiktok Ads into Neon

Datrise syncs Tiktok Ads's records, events, and configuration objects into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Tiktok Ads: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Tiktok Ads entities map to Neon

Tiktok Ads entityNeon objectNotes
recordstiktok_ads_recordsid PK · custom fields → jsonb columns
eventstiktok_ads_eventstimestamptz events
configuration objectstiktok_ads_configuration_objectsid PK · linked to tiktok_ads_records

FAQ

How does Datrise handle Tiktok Ads's custom fields in Neon?

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 Neon types.

How does the Tiktok Ads to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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