LaunchDarkly to Neon Integration
AI-first ETL from LaunchDarkly into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads LaunchDarkly into Neon
Datrise syncs LaunchDarkly's feature flags, environments, targeting rules, evaluations, segments, and flag changes into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
LaunchDarkly: Feature flag management and progressive rollouts.
Neon: Serverless Postgres destination with branching and autoscaling.
How LaunchDarkly entities map to Neon
| LaunchDarkly entity | Neon object | Notes |
|---|---|---|
| feature flags | launchdarkly_feature_flags | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the LaunchDarkly to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for LaunchDarkly
- LaunchDarkly → PlanetScale
- 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
Early access
Connect LaunchDarkly to Neon 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.