DatriseAI-first ETL

ConfigCat to Azure Synapse Integration

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

How Datrise loads ConfigCat into Azure Synapse

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

ConfigCat: Feature flag and remote configuration service.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How ConfigCat entities map to Azure Synapse

ConfigCat entityAzure Synapse objectNotes
feature flagsconfigcat_feature_flagsid PK · custom fields → NVARCHAR(MAX) JSON columns
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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the ConfigCat to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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