DatriseAI-first ETL

ConfigCat to PostgreSQL Integration

AI-first ETL from ConfigCat into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads ConfigCat into PostgreSQL

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

ConfigCat: Feature flag and remote configuration service.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How ConfigCat entities map to PostgreSQL

ConfigCat entityPostgreSQL objectNotes
feature flagsconfigcat_feature_flagsid PK · custom fields → jsonb columns
settingsconfigcat_settingsid PK · linked to configcat_feature_flags
environmentsconfigcat_environmentsid PK · linked to configcat_feature_flags
config valuesconfigcat_config_valuesid PK · linked to configcat_feature_flags

FAQ

How does Datrise handle ConfigCat's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the ConfigCat to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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