Monday.com integration

Monday.com data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.account
type: ingestr
parameters:
  source_connection: monday_com
  source_table: 'account'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/monday_com.asset.yml

  1. extract · Monday.com accountincremental
  2. load · snowflake raw.accountmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Work OS platform enabling teams to run projects and workflows with confidence through visual project management, task tracking, and team collaboration.

  1. 01

    Add a monday.com connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_token
Monday.com API token for authentication

Tables

7 tables, ready to load.

  • account
  • users
  • boards
  • workspaces
  • updates
  • teams
  • tags

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Monday.com.

Does Bruin have a built-in Monday.com integration?

Yes. Built-in ingestr source.

Which Monday.com tables can Bruin load?

account, users, boards, workspaces, updates, teams, tags.

Where can Monday.com data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Monday.com?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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