Monday.com → DuckDB
AI-first ETL from Monday.com into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Monday.com into DuckDB
Datrise syncs Monday.com's boards, items, groups, status timelines, automations, and owner activity into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Monday.com: Work OS for CRM, projects, and workflows.
DuckDB: In-process analytics database for fast local OLAP.
How Monday.com entities map to DuckDB
| Monday.com entity | DuckDB object | Notes |
|---|---|---|
| boards | monday_boards | id PK · custom fields → JSON or STRUCT columns |
| items | monday_items | id PK · linked to monday_boards |
| groups | monday_groups | id PK · linked to monday_boards |
| status timelines | monday_status_timelines | TIMESTAMP WITH TIME ZONE events |
FAQ
How does Datrise handle Monday.com's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Monday.com to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Monday.com
Early access
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