DatriseAI-first ETL

Attio ClickHouse

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

How Datrise loads Attio into ClickHouse

Datrise syncs Attio's objects, lists, records, notes, and relationship workflows 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

Attio: Modern CRM source for relationship and pipeline data.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Attio entities map to ClickHouse

Attio entityClickHouse objectNotes
objectsattio_objectsid PK · custom fields → JSON or Map columns
listsattio_listsid PK · linked to attio_objects
recordsattio_recordsid PK · linked to attio_objects
notesattio_notesid PK · linked to attio_objects

FAQ

How does Datrise handle Attio'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 Attio 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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