DatriseAI-first ETL

Zapier Supported Storage ClickHouse

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

How Datrise loads Zapier Supported Storage into ClickHouse

Datrise syncs Zapier Supported Storage's records, events, and configuration objects 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

Zapier Supported Storage: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Zapier Supported Storage entities map to ClickHouse

Zapier Supported Storage entityClickHouse objectNotes
recordszapier_supported_storage_recordsid PK · custom fields → JSON or Map columns
eventszapier_supported_storage_eventsDateTime64 events
configuration objectszapier_supported_storage_configuration_objectsid PK · linked to zapier_supported_storage_records

FAQ

How does Datrise handle Zapier Supported Storage'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 Zapier Supported Storage 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.

Related pipelines

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