Snowflake to Holistics Integration

How Datrise loads Snowflake into Holistics

Datrise syncs Snowflake's databases, schemas, tables, views, query history, and warehouses 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

Snowflake: Cloud data platform with separated storage and compute.

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

How Snowflake entities map to Holistics

Snowflake entity	Holistics object	Notes
databases	`snowflake_databases`	id PK · custom fields → flattened columns for the modeling layer
schemas	`snowflake_schemas`	id PK · linked to snowflake_databases
tables	`snowflake_tables`	id PK · linked to snowflake_databases
views	`snowflake_views`	id PK · linked to snowflake_databases

FAQ

How does Datrise handle Snowflake'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 Snowflake 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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