PostgreSQL to Holistics Integration

How Datrise loads PostgreSQL into Holistics

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

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

How PostgreSQL entities map to Holistics

PostgreSQL entity	Holistics object	Notes
tables	`hp_postgres_tables`	id PK · custom fields → flattened columns for the modeling layer
rows	`hp_postgres_rows`	id PK · linked to hp_postgres_tables
schemas	`hp_postgres_schemas`	id PK · linked to hp_postgres_tables
indexes	`hp_postgres_indexes`	id PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL to Holistics sync stay up to date?

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

Related pipelines

Early access

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