DatriseAI-first ETL

Unleash to CSV Files Integration

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

How Datrise loads Unleash into CSV Files

Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Unleash: Open-source feature flags and rollout strategies.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Unleash entities map to CSV Files

Unleash entityCSV Files objectNotes
feature togglesunleash_feature_togglesid PK · custom fields → JSON-encoded strings for nested fields
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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Unleash to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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