ConfigCat to Apache Superset Integration
AI-first ETL from ConfigCat into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into Apache Superset
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
ConfigCat: Feature flag and remote configuration service.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How ConfigCat entities map to Apache Superset
| ConfigCat entity | Apache Superset object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → flattened columns for the explore UI |
| 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 Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the ConfigCat to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect ConfigCat to Apache Superset the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.