How do I sync ChartMogul data to Databricks?

Sign up for Weld, connect ChartMogul as a source and Databricks as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What ChartMogul data can I sync to Databricks?

You can sync the objects the ChartMogul connector exposes. The available objects depend on your ChartMogul account permissions and configuration.

How often does Weld sync data from ChartMogul?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform ChartMogul data before it lands in Databricks?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the ChartMogul to Databricks integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.

ChartMogul to Databricks integration

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

Start for free View setup guide

4.8 on G2

Source

Weld

Warehouse

Weld · New sync

SourceChartMogulConnected

Tables to sync

customers48 cols
customer_activities15 cols
subscriptions15 cols
all_metrics13 cols
plans7 cols

Extract
Load
Keep in sync

DestinationDatabricksReady

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

Trusted by data and AI teams

How it works

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

Setup guide API guide MCP docs

Weld · New ChartMogul sync

New connectionChartMogulAuthorised

Connection namechartmogul

AuthorizeOpens ChartMogul to grant read access

Use cases

Why sync ChartMogul to Databricks?
Ready for analysis.

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

Financial reporting
Centralize financial data from ChartMogul in Databricks for automated financial dashboards and month-end close analysis.
Centralized data warehouse
Bring ChartMogul data into Databricks 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 Databricks. 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 Databricks, 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 Databricks 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 Databricks.

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCPAgent contextChartMogultables5fields98joins3

How many customers rows do we have in Databricks?

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 Databricks

>Ask about your ChartMogul dataMCP

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 Databricks 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

Databricks setup guide

How to connect Databricks 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 Databricks.

Start syncing ChartMogul to Databricks.

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

Source

Weld

Warehouse

Start for free Talk to us

Related integrations.
More with ChartMogul and Databricks.

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ChartMogul to Databricks integration

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

Why sync ChartMogul to Databricks?Ready for analysis.

Financial reporting

Centralized data warehouse

Automated reporting

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

Ask your agent.It queries Databricks for you.

Technical considerations.What to expect.

Keep reading.Guides, docs and schema.

Common questions.About ChartMogul to Databricks.