Linear to Google BigQuery integration
Connect Linear to Google BigQuery and automatically sync your project management data. Weld extracts data from Linear, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceLinearConnected- issues49 cols
- teams28 cols
- comments20 cols
- users20 cols
- Extract
- Load
- Keep in sync
DestinationGoogle BigQueryReady- linear.issuesSynced
- linear.teamsSyncing
- linear.commentsSynced
- linear.usersSynced
- Linear tables
- 4
- fields, typed
- 117
- agent context included
- MCP
Trusted by data and AI teams
How to set up Linear to Google BigQuery in Weld.
In the app, with the API or an agent.
New connectionLinearAuthorisedWhy sync Linear to Google BigQuery?
Ready for analysis.
Centralizing your Linear 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 Linear data directly in Google BigQuery using SQL or your preferred BI tool.
Centralized data warehouse
Bring Linear 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 Linear to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Linear table, keys intact.
Weld syncs the objects the Linear connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- issues
- teams
- comments
- users
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Linear context, finds the tables it needs and runs the query in Google BigQuery.
How many issues rows do we have in Google BigQuery?
Reading the Linear context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
ELT vs. reverse ETL: Linear and Google BigQuery
ELT (Extract, Load, Transform) moves data from Linear into Google BigQuery for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.
Reverse ETL works the other direction: it pushes enriched data from Google BigQuery back into Linear. For example, you could sync computed lead scores or customer segments from your warehouse into Linear to personalize outreach.
Weld supports both directions, so you can build a complete data loop between Linear and Google BigQuery.
Google BigQuery to Linear- Incremental syncing
- Weld uses incremental syncing where supported by the Linear API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Linear 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 Linear to Google BigQuery.
Start syncing Linear to Google BigQuery.
Set up your Linear data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
