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ChartMogul to Google BigQuery integration

Connect ChartMogul to Google BigQuery and automatically sync your finance & accounting data. Weld extracts data from ChartMogul, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
ChartMogulSource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
ChartMogulSourceChartMogulConnected
Tables to sync
  • customers48 cols
  • customer_activities15 cols
  • subscriptions15 cols
  • all_metrics13 cols
  • plans7 cols
  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
chartmogul dataset
  • chartmogul.customersSynced
  • chartmogul.customer_activitiesSyncing
  • chartmogul.subscriptionsSynced
  • chartmogul.all_metricsSynced
  • chartmogul.plansSynced
ChartMogul tables
5
fields, typed
98
relationships kept
3
agent context included
MCP

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  • Flatpay
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  • Pas Normal Studios
How it works

How to set up ChartMogul to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New ChartMogul sync
ChartMogulNew connectionChartMogulAuthorised
Connection namechartmogul
AuthorizeOpens ChartMogul to grant read access
Use cases

Why sync ChartMogul to Google BigQuery?
Ready for analysis.

Centralizing your ChartMogul 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 ChartMogul data directly in Google BigQuery using SQL or your preferred BI tool.

  • Financial reporting

    Centralize financial data from ChartMogul in Google BigQuery for automated financial dashboards and month-end close analysis.

  • Centralized data warehouse

    Bring ChartMogul 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 ChartMogul to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every ChartMogul table, keys intact.

Weld syncs the objects the ChartMogul connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 5 tables
  • customers
  • customer_activities
  • subscriptions
  • all_metrics
  • plans
Weld MCP server

Ask your agent.
It queries Google BigQuery for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the ChartMogul context, finds the tables it needs and runs the query in Google BigQuery.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many customers rows do we have in Google BigQuery?

Reading the ChartMogul context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.chartmogul.customers
+ 4 more ChartMogul tables
●weld·get_reference_schema
⎿customers · 48 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.chartmogul.customers}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from ChartMogul data in Google BigQuery
>Ask about your ChartMogul data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the ChartMogul API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If ChartMogul 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.
Resources

Keep reading.
Guides, docs and schema.

Documentation

ChartMogul setup guide

How to connect ChartMogul to Weld, step by step.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Schema

ChartMogul schema explorer

Browse all 5 tables and 98 fields.

Connector

ChartMogul connector

Everything Weld does with ChartMogul.

FAQ

Common questions.
About ChartMogul to Google BigQuery.

Start syncing ChartMogul to Google BigQuery.

Set up your ChartMogul data pipeline in minutes. No credit card required. Free for 14 days.

ChartMogulSource
WeldWeld
Google BigQueryWarehouse
Start for freeTalk to us
Related

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More with ChartMogul and Google BigQuery.

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