DatriseAI-first ETL

Source connector

TikTok Ads connector

TikTok Ads integration for databases, warehouses and BI tools

Paid campaign delivery across TikTok placements. Datrise captures TikTok Ads entities such as campaigns, ad groups, ads, creatives, spend and conversion metrics, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 5 sync as upserts keyed on the primary key and 1 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `tiktok_ads_campaigns`) with a schema derived from the TikTok Ads API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the TikTok Ads pipeline page, and join the waitlist to get the TikTok Ads connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What TikTok Ads data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
campaignstiktok_ads_campaignsUpsert by primary key, incremental on updated-at
ad groupstiktok_ads_ad_groupsUpsert by primary key, incremental on updated-at
adstiktok_ads_adsUpsert by primary key, incremental on updated-at
creativestiktok_ads_creativesUpsert by primary key, incremental on updated-at
spendtiktok_ads_spendUpsert by primary key, incremental on updated-at
conversion metricstiktok_ads_conversion_metricsAppend-only, incremental by timestamp

Popular destinations for TikTok Ads

Choose a destination below to open the ready pipeline page.

  • A
    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
  • A
    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
  • A
    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
  • A
    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

TikTok Ads connector FAQ

What TikTok Ads data does the connector extract?
6 objects: campaigns, ad groups, ads, creatives, spend and conversion metrics. Each lands in its own table with types preserved; history-style objects (1: conversion metrics) load as append-only streams.
Is the TikTok Ads integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load TikTok Ads data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each TikTok Ads → destination pair has its own page with the object-to-table mapping.

Related sources

Other sources in the same category, each with its own connector page.

Early access

Launch your TikTok Ads pipeline with guided onboarding

Join the waitlist to get priority access for TikTok Ads integrations with guided setup, schema-aware mapping, and production-grade incremental sync.