DatriseAI-first ETL

Vantage to Databricks SQL Warehouse Integration

AI-first ETL from Vantage into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Vantage into Databricks SQL Warehouse

Datrise syncs Vantage's costs, resources, providers, cost reports, tags, and budget alerts into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Vantage: Cloud cost visibility and spend allocation.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Vantage entities map to Databricks SQL Warehouse

Vantage entityDatabricks SQL Warehouse objectNotes
costsvantage_costsid PK · custom fields → VARIANT or STRUCT columns
resourcesvantage_resourcesid PK · linked to vantage_costs
providersvantage_providersid PK · linked to vantage_costs
cost reportsvantage_cost_reportsid PK · linked to vantage_costs

FAQ

How does Datrise handle Vantage's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Vantage to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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