Asana to Google BigQuery integration
Connect Asana to Google BigQuery and automatically sync your project management data. Weld extracts Tasks, Projects, Workspaces, and Teams from Asana, loads them into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceAsanaConnected- user5 cols
- goal14 cols
- workspace4 cols
- project17 cols
- task18 cols
- goal_status9 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- asana.userSynced
- asana.goalSyncing
- asana.workspaceSynced
- asana.projectSynced
- asana.taskSynced
- asana.goal_statusSynced
- Asana tables
- 10
- fields, typed
- 91
- relationships kept
- 14
- agent context included
- MCP
Trusted by data and AI teams
How to set up Asana to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionAsanaAuthorisedWhy sync Asana to Google BigQuery?
Ready for analysis.
Centralizing your Asana data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Asana data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Asana data into Google BigQuery 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 Asana to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Asana table, keys intact.
Weld syncs the following data objects from Asana into Google BigQuery. The exact tables and fields depend on your Asana configuration and the permissions granted during setup.
- user
- goal
- workspace
- project
- task
- goal_status
- project_status
- story
- team
- project_task
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Asana context, finds the tables it needs and runs the query in Google BigQuery.
How many task rows do we have in Google BigQuery?
Reading the Asana 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 Asana API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Asana adds new fields, they're detected and added to the corresponding Google BigQuery 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 Asana to Google BigQuery.
Start syncing Asana to Google BigQuery.
Set up your Asana data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
