ConfigCat to Looker Studio Integration
AI-first ETL from ConfigCat into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into Looker Studio
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
ConfigCat: Feature flag and remote configuration service.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How ConfigCat entities map to Looker Studio
| ConfigCat entity | Looker Studio object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → flattened columns for chart fields |
| 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 Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the ConfigCat to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for ConfigCat
More sources for Looker Studio
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