SparkPost to MySQL Integration

How Datrise loads SparkPost into MySQL

Datrise syncs SparkPost's messages, transmissions, delivery events, bounces, suppressions, and sending domains 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

SparkPost: Transactional email delivery and deliverability metrics.

MySQL: Widely used OSS relational engine (InnoDB).

How SparkPost entities map to MySQL

SparkPost entity	MySQL object	Notes
messages	`sparkpost_messages`	id PK · custom fields → JSON columns
transmissions	`sparkpost_transmissions`	id PK · linked to sparkpost_messages
delivery events	`sparkpost_delivery_events`	DATETIME/TIMESTAMP events
bounces	`sparkpost_bounces`	id PK · linked to sparkpost_messages

FAQ

How does Datrise handle SparkPost'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 SparkPost 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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