DatriseAI-first ETL

Less Annoying CRM PlanetScale

AI-first ETL from Less Annoying CRM into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Less Annoying CRM into PlanetScale

Datrise syncs Less Annoying CRM's contacts, accounts, deals, activities, and lifecycle 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

Less Annoying CRM: CRM for SMB teams managing pipeline, contacts, and customer activity.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Less Annoying CRM entities map to PlanetScale

Less Annoying CRM entityPlanetScale objectNotes
contactsless_annoying_crm_contactsid PK · custom fields → JSON columns
accountsless_annoying_crm_accountsid PK · linked to less_annoying_crm_contacts
dealsless_annoying_crm_dealsid PK · linked to less_annoying_crm_contacts
activitiesless_annoying_crm_activitiesDATETIME events

FAQ

How does Datrise handle Less Annoying CRM'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 Less Annoying CRM 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

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