DatriseAI-first ETL

Unleash to PlanetScale Integration

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

How Datrise loads Unleash into PlanetScale

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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

Unleash: Open-source feature flags and rollout strategies.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Unleash entities map to PlanetScale

Unleash entityPlanetScale objectNotes
feature togglesunleash_feature_togglesid PK · custom fields → JSON columns
strategiesunleash_strategiesid PK · linked to unleash_feature_toggles
environmentsunleash_environmentsid PK · linked to unleash_feature_toggles
projectsunleash_projectsid PK · linked to unleash_feature_toggles

FAQ

How does Datrise handle Unleash'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 Unleash 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

Early access

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