DatriseAI-first ETL

Persistiq to MySQL Integration

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

How Datrise loads Persistiq into MySQL

Datrise syncs Persistiq's prospects, campaigns, sequences, email events, users, and dispositions 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

Persistiq: Outbound sales sequences and prospect tracking.

MySQL: Widely used OSS relational engine (InnoDB).

How Persistiq entities map to MySQL

Persistiq entityMySQL objectNotes
prospectspersistiq_prospectsid PK · custom fields → JSON columns
campaignspersistiq_campaignsid PK · linked to persistiq_prospects
sequencespersistiq_sequencesid PK · linked to persistiq_prospects
email eventspersistiq_email_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Persistiq'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 Persistiq 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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