ConfigCat to Google BigQuery Integration
AI-first ETL from ConfigCat into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads ConfigCat into Google BigQuery
Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
ConfigCat: Feature flag and remote configuration service.
Google BigQuery: Serverless analytics warehouse on GCP.
How ConfigCat entities map to Google BigQuery
| ConfigCat entity | Google BigQuery object | Notes |
|---|---|---|
| feature flags | configcat_feature_flags | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the ConfigCat to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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Early access
Connect ConfigCat to Google BigQuery 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.