DatriseAI-first ETL

Ploomes to MySQL Integration

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

How Datrise loads Ploomes into MySQL

Datrise syncs Ploomes's contacts, companies, deals, quotes, products, and pipeline stages 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

Ploomes: CRM with quoting and product catalogs for Brazilian sales.

MySQL: Widely used OSS relational engine (InnoDB).

How Ploomes entities map to MySQL

Ploomes entityMySQL objectNotes
contactsploomes_contactsid PK · custom fields → JSON columns
companiesploomes_companiesid PK · linked to ploomes_contacts
dealsploomes_dealsid PK · linked to ploomes_contacts
quotesploomes_quotesid PK · linked to ploomes_contacts

FAQ

How does Datrise handle Ploomes'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 Ploomes 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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