Data
Google BigQuery
Scheduled export of ledger and dimension data into an existing warehouse.
Where this actually stands
PlannedPlanned
Designed and on the roadmap: we know what it would do and roughly what it takes. No code has been written, and we are not going to imply otherwise.
Connection type
Data feed
A scheduled one-way flow of records into G1, or out of it into a warehouse you already run.
What it would do
Google BigQuery, connected.
Push G1 data into the warehouse you already run.
G1 does not ask you to replace a system that works. Where a connection exists, the point of it is to remove the person in the middle — the weekly export, the re-key, the spreadsheet that reconciles two tools that should have agreed in the first place.
Your data stays yours. Spreadsheet import and export work today; warehouse and BI connectors are on the roadmap for businesses that already run one.
Every categoryModules it feeds
- AnalyticsAvailableAnalysis on the live ledger, not a copy of last month's export.
- Business intelligencePlannedThe wider data layer, for when finance is only part of the question.
- ReportingAvailableStatements that tie back, every time, without a reconciliation ritual.
A connector is only as useful as the module reading it. Where the module is still in development, the connector waits for it.
Data
Others in the same category.
- AvailableExplore
File import
Spreadsheet import & export
CSV and Excel in and out, everywhere. Live today.
- PlannedExplore
Data feed
Snowflake
G1 as a governed source in your data platform.
- PlannedExplore
Data feed
Power BI
Report on G1 data in the tool your team knows.
- PlannedExplore
Data feed
Looker Studio
Lightweight reporting on the same definitions.
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Connect what you already use
Tell us how Google BigQuery is used where you are.
What matters is not the connector — it is the work it removes. Describe the manual step and we will tell you whether a connection actually fixes it.