DatriseAI-first ETL

ConfigCat to Microsoft SQL Server Integration

AI-first ETL from ConfigCat into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads ConfigCat into Microsoft SQL Server

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

ConfigCat: Feature flag and remote configuration service.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How ConfigCat entities map to Microsoft SQL Server

ConfigCat entityMicrosoft SQL Server 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 Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the ConfigCat to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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