DatriseAI-first ETL

Source Dynamodb Redash

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

How Datrise loads Source Dynamodb into Redash

Datrise syncs Source Dynamodb's records, events, and configuration objects 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

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

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

How Source Dynamodb entities map to Redash

Source Dynamodb entityRedash objectNotes
recordssource_dynamodb_recordsid PK · custom fields → flattened columns for query results
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 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 Source Dynamodb to Redash sync stay up to date?

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

Related pipelines

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