Clockify to MySQL Integration

How Datrise loads Clockify into MySQL

Datrise syncs Clockify's time entries, projects, tasks, users, clients, and tags 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

Clockify: Time tracking across projects and teams.

MySQL: Widely used OSS relational engine (InnoDB).

How Clockify entities map to MySQL

Clockify entity	MySQL object	Notes
time entries	`clockify_time_entries`	id PK · custom fields → JSON columns
projects	`clockify_projects`	id PK · linked to clockify_time_entries
tasks	`clockify_tasks`	id PK · linked to clockify_time_entries
users	`clockify_users`	id PK · linked to clockify_time_entries

FAQ

How does Datrise handle Clockify'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 Clockify 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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