Monday.com to Databricks integration
Connect Monday.com to Databricks and automatically sync your project management data. Weld extracts Boards, Items, Groups, and Users from Monday.com, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
- activity_logs9 cols
- board12 cols
- item12 cols
- account10 cols
- user20 cols
- item_column_values6 cols
- Extract
- Load
- Keep in sync
- monday.activity_logsSynced
- monday.boardSyncing
- monday.itemSynced
- monday.accountSynced
- monday.userSynced
- monday.item_column_valuesSynced
- Monday.com tables
- 7
- fields, typed
- 73
- relationships kept
- 5
- agent context included
- MCP
Trusted by data and AI teams
How to set up Monday.com to Databricks in Weld.
In the app, with the API or an agent.
Why sync Monday.com to Databricks?
Ready for analysis.
Centralizing your Monday.com data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Monday.com data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Monday.com data into Databricks alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Monday.com to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Monday.com table, keys intact.
Weld syncs the following data objects from Monday.com into Databricks. The exact tables and fields depend on your Monday.com configuration and the permissions granted during setup.
- activity_logs
- board
- item
- account
- user
- item_column_values
- user_team
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Monday.com context, finds the tables it needs and runs the query in Databricks.
How many activity_logs rows do we have per board? Use our Monday.com data in Databricks.
Reading the Monday.com context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Monday.com API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Monday.com adds new fields, they're detected and added to the corresponding Databricks tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Monday.com to Databricks.
Start syncing Monday.com to Databricks.
Set up your Monday.com data pipeline in minutes. No credit card required. Free for 14 days.