DatriseAI-first ETL

Unleash to PostgreSQL Integration

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

How Datrise loads Unleash into PostgreSQL

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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

Unleash: Open-source feature flags and rollout strategies.

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

How Unleash entities map to PostgreSQL

Unleash entityPostgreSQL objectNotes
feature togglesunleash_feature_togglesid PK · custom fields → jsonb columns
strategiesunleash_strategiesid PK · linked to unleash_feature_toggles
environmentsunleash_environmentsid PK · linked to unleash_feature_toggles
projectsunleash_projectsid PK · linked to unleash_feature_toggles

FAQ

How does Datrise handle Unleash'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 Unleash 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

Early access

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