ChartMogul to PostgreSQL integration

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

4.8 on G2
ChartMogulSource
WeldWeld
PostgreSQLWarehouse
Weld · New sync
ChartMogulSourceChartMogulConnected
Tables to sync
  • customers48 cols
  • customer_activities15 cols
  • subscriptions15 cols
  • all_metrics13 cols
  • plans7 cols
  • Extract
  • Load
  • Keep in sync
PostgreSQLDestinationPostgreSQLReady
chartmogul schema
  • 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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How it works

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

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

Why sync ChartMogul to PostgreSQL?
Ready for analysis.

Centralizing your ChartMogul data in PostgreSQL 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 PostgreSQL using SQL or your preferred BI tool.

  • Financial reporting

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

  • Centralized data warehouse

    Bring ChartMogul data into PostgreSQL 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 PostgreSQL. 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 PostgreSQL, 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 PostgreSQL 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 PostgreSQL.

Claude CodeOpus 5
>

How many customers rows do we have in PostgreSQL?

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 PostgreSQL
>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 PostgreSQL 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.
FAQ

Common questions.
About ChartMogul to PostgreSQL.

Start syncing ChartMogul to PostgreSQL.

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

ChartMogulSource
WeldWeld
PostgreSQLWarehouse