DatriseAI-first ETL

ConfigCat to MySQL Integration

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

How Datrise loads ConfigCat into MySQL

Datrise syncs ConfigCat's feature flags, settings, environments, config values, evaluations, and targeting rules into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

ConfigCat: Feature flag and remote configuration service.

MySQL: Widely used OSS relational engine (InnoDB).

How ConfigCat entities map to MySQL

ConfigCat entityMySQL objectNotes
feature flagsconfigcat_feature_flagsid PK · custom fields → 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 MySQL?

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

How does the ConfigCat to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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