ChartMogul to Redash Integration

How Datrise loads ChartMogul into Redash

Datrise syncs ChartMogul's customers, subscriptions, invoices, MRR movements, plans, and churn events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

ChartMogul: Subscription analytics and revenue reporting.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How ChartMogul entities map to Redash

ChartMogul entity	Redash object	Notes
customers	`chartmogul_customers`	id PK · custom fields → flattened columns for query results
subscriptions	`chartmogul_subscriptions`	id PK · linked to chartmogul_customers
invoices	`chartmogul_invoices`	id PK · linked to chartmogul_customers
MRR movements	`chartmogul_mrr_movements`	temporal columns events

FAQ

How does Datrise handle ChartMogul's custom fields in Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the ChartMogul to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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