Clio to PlanetScale Integration
AI-first ETL from Clio into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Clio into PlanetScale
Datrise syncs Clio's matters, contacts, time entries, bills, documents, and calendar events into PlanetScale 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.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Clio: Legal practice management for matters, time, and billing.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Clio entities map to PlanetScale
| Clio entity | PlanetScale object | Notes |
|---|---|---|
| matters | clio_matters | id PK · custom fields → JSON columns |
| contacts | clio_contacts | id PK · linked to clio_matters |
| time entries | clio_time_entries | id PK · linked to clio_matters |
| bills | clio_bills | id PK · linked to clio_matters |
FAQ
How does Datrise handle Clio's custom fields in PlanetScale?
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 PlanetScale types.
How does the Clio to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Clio
More sources for PlanetScale
Early access
Connect Clio to PlanetScale the easy way
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