ConfigCat to PlanetScale Integration
AI-first ETL from ConfigCat into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into PlanetScale
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules 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
ConfigCat: Feature flag and remote configuration service.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How ConfigCat entities map to PlanetScale
| ConfigCat entity | PlanetScale object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → JSON columns |
| settings | configcat_settings | id PK · linked to configcat_feature_flags |
| environments | configcat_environments | id PK · linked to configcat_feature_flags |
| config values | configcat_config_values | id PK · linked to configcat_feature_flags |
FAQ
How does Datrise handle ConfigCat'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 ConfigCat 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
More destinations for ConfigCat
More sources for PlanetScale
Early access
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