DatriseAI-first ETL

Source Dynamodb Chartio

AI-first ETL from Source Dynamodb into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Source Dynamodb into Chartio

Datrise syncs Source Dynamodb's records, events, and configuration objects into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Source Dynamodb: SaaS or API data source for analytics and warehouse sync.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Source Dynamodb entities map to Chartio

Source Dynamodb entityChartio objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns for visual SQL
eventssource_dynamodb_eventstemporal columns events
configuration objectssource_dynamodb_configuration_objectsid PK · linked to source_dynamodb_records

FAQ

How does Datrise handle Source Dynamodb's custom fields in Chartio?

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

How does the Source Dynamodb to Chartio sync stay up to date?

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

Related pipelines

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