Snowplow to MySQL Integration

How Datrise loads Snowplow into MySQL

Datrise syncs Snowplow's events, users, sessions, contexts, page views, and event schemas 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

Snowplow: Behavioral event pipeline with a strict schema.

MySQL: Widely used OSS relational engine (InnoDB).

How Snowplow entities map to MySQL

Snowplow entity	MySQL object	Notes
events	`snowplow_events`	DATETIME/TIMESTAMP events
users	`snowplow_users`	id PK · linked to snowplow_events
sessions	`snowplow_sessions`	id PK · linked to snowplow_events
contexts	`snowplow_contexts`	id PK · linked to snowplow_events

FAQ

How does Datrise handle Snowplow'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 Snowplow 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

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