ConfigCat to Sisense Integration
AI-first ETL from ConfigCat into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into Sisense
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
ConfigCat: Feature flag and remote configuration service.
Sisense: Analytics platform with elastic data models and embedded analytics.
How ConfigCat entities map to Sisense
| ConfigCat entity | Sisense object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → flattened columns for the cube |
| settings | configcat_settings | id PK · linked to configcat_feature_flags |
| environments | configcat_environments | id PK · linked to configcat_feature_flags |
| config values | configcat_config_values | id PK · linked to configcat_feature_flags |
FAQ
How does Datrise handle ConfigCat's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the ConfigCat to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for ConfigCat
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