DatriseAI-first ETL

ConfigCat to Holistics Integration

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

How Datrise loads ConfigCat into Holistics

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules 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

ConfigCat: Feature flag and remote configuration service.

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

How ConfigCat entities map to Holistics

ConfigCat entityHolistics objectNotes
feature flagsconfigcat_feature_flagsid PK · custom fields → flattened columns for the modeling layer
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 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 ConfigCat to Holistics sync stay up to date?

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

Related pipelines

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