DatriseAI-first ETL

Monday.com Snowflake

AI-first ETL from Monday.com into Snowflake. Governed entities, incremental sync, typed landing tables.

How Datrise loads Monday.com into Snowflake

Datrise syncs Monday.com's boards, items, groups, status timelines, automations, and owner activity into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Monday.com: Work OS for CRM, projects, and workflows.

Snowflake: Cloud data warehouse with separated compute and storage.

How Monday.com entities map to Snowflake

Monday.com entitySnowflake objectNotes
boardsmonday_boardsid PK · custom fields → VARIANT columns
itemsmonday_itemsid PK · linked to monday_boards
groupsmonday_groupsid PK · linked to monday_boards
status timelinesmonday_status_timelinesTIMESTAMP_TZ events

FAQ

How does Datrise handle Monday.com's custom fields in Snowflake?

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

How does the Monday.com to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

Early access

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