ChartMogul to MySQL Integration
AI-first ETL from ChartMogul into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads ChartMogul into MySQL
Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
ChartMogul: Subscription analytics and revenue reporting.
MySQL: Widely used OSS relational engine (InnoDB).
How ChartMogul entities map to MySQL
| ChartMogul entity | MySQL object | Notes |
|---|---|---|
| customers | chartmogul_customers | id PK · custom fields → JSON columns |
| subscriptions | chartmogul_subscriptions | id PK · linked to chartmogul_customers |
| invoices | chartmogul_invoices | id PK · linked to chartmogul_customers |
| MRR movements | chartmogul_mrr_movements | DATETIME/TIMESTAMP events |
FAQ
How does Datrise handle ChartMogul's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the ChartMogul to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for ChartMogul
- ChartMogul → Microsoft SQL Server
- ChartMogul → Oracle Database
- ChartMogul → Snowflake
- ChartMogul → Google BigQuery
- ChartMogul → Amazon Redshift
- ChartMogul → Databricks SQL Warehouse
- ChartMogul → ClickHouse
- ChartMogul → DuckDB
- ChartMogul → Amazon Athena
- ChartMogul → Amazon S3 Data Lake
- ChartMogul → Azure Data Lake Storage
- ChartMogul → Azure Synapse
Early access
Connect ChartMogul to MySQL the easy way
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