DatriseAI-first ETL

TikTok Ads to Redash Integration

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

How Datrise loads TikTok Ads into Redash

Datrise syncs TikTok Ads's campaigns, ad groups, ads, creatives, spend, and conversion metrics into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

TikTok Ads: Paid campaign delivery across TikTok placements.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How TikTok Ads entities map to Redash

TikTok Ads entityRedash objectNotes
campaignstiktok_ads_campaignsid PK · custom fields → flattened columns for query results
ad groupstiktok_ads_ad_groupsid PK · linked to tiktok_ads_campaigns
adstiktok_ads_adsid PK · linked to tiktok_ads_campaigns
creativestiktok_ads_creativesid PK · linked to tiktok_ads_campaigns

FAQ

How does Datrise handle TikTok Ads's custom fields in Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the TikTok Ads to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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