Unleash to Neon Integration
AI-first ETL from Unleash into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Unleash into Neon
Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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
Unleash: Open-source feature flags and rollout strategies.
Neon: Serverless Postgres destination with branching and autoscaling.
How Unleash entities map to Neon
| Unleash entity | Neon object | Notes |
|---|---|---|
| feature toggles | unleash_feature_toggles | id PK · custom fields → jsonb columns |
| strategies | unleash_strategies | id PK · linked to unleash_feature_toggles |
| environments | unleash_environments | id PK · linked to unleash_feature_toggles |
| projects | unleash_projects | id PK · linked to unleash_feature_toggles |
FAQ
How does Datrise handle Unleash'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 Unleash 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 Unleash
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