DatriseAI-first ETL

Monday.com Amazon Redshift

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

How Datrise loads Monday.com into Amazon Redshift

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

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

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

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Monday.com entities map to Amazon Redshift

Monday.com entityAmazon Redshift objectNotes
boardsmonday_boardsid PK · custom fields → SUPER columns
itemsmonday_itemsid PK · linked to monday_boards
groupsmonday_groupsid PK · linked to monday_boards
status timelinesmonday_status_timelinesTIMESTAMPTZ events

FAQ

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

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

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

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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