DatriseAI-first ETL

Taboola to ClickHouse Integration

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

How Datrise loads Taboola into ClickHouse

Datrise syncs Taboola's campaigns, campaign items, sites, spend, clicks, and conversions into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Taboola: Content recommendation and native advertising.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Taboola entities map to ClickHouse

Taboola entityClickHouse objectNotes
campaignstaboola_campaignsid PK · custom fields → JSON or Map 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 ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the Taboola to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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