DatriseAI-first ETL

Glassfrog to MySQL Integration

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

How Datrise loads Glassfrog into MySQL

Datrise syncs Glassfrog's circles, roles, people, accountabilities, projects, and governance records 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

Glassfrog: Holacracy roles, circles, and governance records.

MySQL: Widely used OSS relational engine (InnoDB).

How Glassfrog entities map to MySQL

Glassfrog entityMySQL objectNotes
circlesglassfrog_circlesid PK · custom fields → JSON columns
rolesglassfrog_rolesid PK · linked to glassfrog_circles
peopleglassfrog_peopleid PK · linked to glassfrog_circles
accountabilitiesglassfrog_accountabilitiesid PK · linked to glassfrog_circles

FAQ

How does Datrise handle Glassfrog'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 Glassfrog 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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