DatriseAI-first ETL

Mailshake to MySQL Integration

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

How Datrise loads Mailshake into MySQL

Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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

Mailshake: Cold outreach sequences and reply tracking.

MySQL: Widely used OSS relational engine (InnoDB).

How Mailshake entities map to MySQL

Mailshake entityMySQL objectNotes
campaignsmailshake_campaignsid PK · custom fields → JSON columns
recipientsmailshake_recipientsid PK · linked to mailshake_campaigns
sequencesmailshake_sequencesid PK · linked to mailshake_campaigns
email eventsmailshake_email_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Mailshake'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 Mailshake 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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