DatriseAI-first ETL

LaunchDarkly to Holistics Integration

AI-first ETL from LaunchDarkly into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads LaunchDarkly into Holistics

Datrise syncs LaunchDarkly's feature flags, environments, targeting rules, evaluations, segments, and flag changes into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

LaunchDarkly: Feature flag management and progressive rollouts.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How LaunchDarkly entities map to Holistics

LaunchDarkly entityHolistics objectNotes
feature flagslaunchdarkly_feature_flagsid PK · custom fields → flattened columns for the modeling layer
environmentslaunchdarkly_environmentsid PK · linked to launchdarkly_feature_flags
targeting ruleslaunchdarkly_targeting_rulesid PK · linked to launchdarkly_feature_flags
evaluationslaunchdarkly_evaluationsid PK · linked to launchdarkly_feature_flags

FAQ

How does Datrise handle LaunchDarkly's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the LaunchDarkly to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

Connect LaunchDarkly to Holistics the easy way

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