LaunchDarkly to PlanetScale Integration
AI-first ETL from LaunchDarkly into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads LaunchDarkly into PlanetScale
Datrise syncs LaunchDarkly's feature flags, environments, targeting rules, evaluations, segments, and flag changes 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
LaunchDarkly: Feature flag management and progressive rollouts.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How LaunchDarkly entities map to PlanetScale
| LaunchDarkly entity | PlanetScale object | Notes |
|---|---|---|
| feature flags | launchdarkly_feature_flags | id PK · custom fields → JSON columns |
| environments | launchdarkly_environments | id PK · linked to launchdarkly_feature_flags |
| targeting rules | launchdarkly_targeting_rules | id PK · linked to launchdarkly_feature_flags |
| evaluations | launchdarkly_evaluations | id PK · linked to launchdarkly_feature_flags |
FAQ
How does Datrise handle LaunchDarkly'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 LaunchDarkly 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 LaunchDarkly
- LaunchDarkly → Amazon DynamoDB
- LaunchDarkly → Looker
- LaunchDarkly → Looker Studio
- LaunchDarkly → Microsoft Power BI
- LaunchDarkly → Tableau
- LaunchDarkly → Apache Superset
- LaunchDarkly → Metabase
- LaunchDarkly → Amazon QuickSight
- LaunchDarkly → Domo
- LaunchDarkly → Sisense
- LaunchDarkly → ThoughtSpot
- LaunchDarkly → Qlik
Early access
Connect LaunchDarkly to PlanetScale the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.