DatriseAI-first ETL

CircleCI to MySQL Integration

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

How Datrise loads CircleCI into MySQL

Datrise syncs CircleCI's pipelines, workflows, jobs, builds, test results, and artifacts 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

CircleCI: Continuous integration and delivery pipelines.

MySQL: Widely used OSS relational engine (InnoDB).

How CircleCI entities map to MySQL

CircleCI entityMySQL objectNotes
pipelinescircle_ci_pipelinesid PK · custom fields → JSON columns
workflowscircle_ci_workflowsid PK · linked to circle_ci_pipelines
jobscircle_ci_jobsid PK · linked to circle_ci_pipelines
buildscircle_ci_buildsid PK · linked to circle_ci_pipelines

FAQ

How does Datrise handle CircleCI'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 CircleCI 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

Early access

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