DatriseAI-first ETL

Pepperjam to MySQL Integration

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

How Datrise loads Pepperjam into MySQL

Datrise syncs Pepperjam's publishers, transactions, clicks, commissions, creatives, and programs 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

Pepperjam: Affiliate network performance and publisher payouts.

MySQL: Widely used OSS relational engine (InnoDB).

How Pepperjam entities map to MySQL

Pepperjam entityMySQL objectNotes
publisherspepperjam_publishersid PK · custom fields → JSON columns
transactionspepperjam_transactionsid PK · linked to pepperjam_publishers
clickspepperjam_clicksid PK · linked to pepperjam_publishers
commissionspepperjam_commissionsid PK · linked to pepperjam_publishers

FAQ

How does Datrise handle Pepperjam'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 Pepperjam 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

Early access

Connect Pepperjam to MySQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.