ConfigCat to Neon Integration
AI-first ETL from ConfigCat into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into Neon
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules 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
ConfigCat: Feature flag and remote configuration service.
Neon: Serverless Postgres destination with branching and autoscaling.
How ConfigCat entities map to Neon
| ConfigCat entity | Neon object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → jsonb 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 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 ConfigCat 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 ConfigCat
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