DatriseAI-first ETL

Vantage to PlanetScale Integration

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

How Datrise loads Vantage into PlanetScale

Datrise syncs Vantage's costs, resources, providers, cost reports, tags, and budget alerts into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Vantage: Cloud cost visibility and spend allocation.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Vantage entities map to PlanetScale

Vantage entityPlanetScale objectNotes
costsvantage_costsid PK · custom fields → JSON 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 PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Vantage to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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