DatriseAI-first ETL

Amazon RDS to Holistics Integration

AI-first ETL from Amazon RDS into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Amazon RDS into Holistics

Datrise syncs Amazon RDS's tables, rows, schemas, indexes, primary keys, and change streams into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Amazon RDS: Managed relational database service on AWS.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Amazon RDS entities map to Holistics

Amazon RDS entityHolistics objectNotes
tablesamazon_rds_tablesid PK · custom fields → flattened columns for the modeling layer
rowsamazon_rds_rowsid PK · linked to amazon_rds_tables
schemasamazon_rds_schemasid PK · linked to amazon_rds_tables
indexesamazon_rds_indexesid PK · linked to amazon_rds_tables

FAQ

How does Datrise handle Amazon RDS's custom fields in Holistics?

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

How does the Amazon RDS to Holistics sync stay up to date?

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

Related pipelines

Early access

Connect Amazon RDS to Holistics the easy way

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