DatriseAI-first ETL

SendGrid ClickHouse

AI-first ETL from SendGrid into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads SendGrid into ClickHouse

Datrise syncs SendGrid's messages, templates, suppressions, bounces, and engagement events into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

ClickHouse: Columnar OLAP engine for fast aggregations.

How SendGrid entities map to ClickHouse

SendGrid entityClickHouse objectNotes
messagessendgrid_messagesid PK · custom fields → JSON or Map columns
templatessendgrid_templatesid PK · linked to sendgrid_messages
suppressionssendgrid_suppressionsid PK · linked to sendgrid_messages
bouncessendgrid_bouncesid PK · linked to sendgrid_messages

FAQ

How does Datrise handle SendGrid's custom fields in ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the SendGrid to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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