Monday.com → Mode
AI-first ETL from Monday.com into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Monday.com into Mode
Datrise syncs Monday.com's boards, items, groups, status timelines, automations, and owner activity into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Monday.com: Work OS for CRM, projects, and workflows.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Monday.com entities map to Mode
| Monday.com entity | Mode object | Notes |
|---|---|---|
| boards | monday_boards | id PK · custom fields → flattened columns for SQL and notebooks |
| items | monday_items | id PK · linked to monday_boards |
| groups | monday_groups | id PK · linked to monday_boards |
| status timelines | monday_status_timelines | temporal columns events |
FAQ
How does Datrise handle Monday.com's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Monday.com to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Monday.com
Early access
Connect Monday.com to Mode the easy way
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