DatriseAI-first ETL

SendGrid Amazon Redshift

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

How Datrise loads SendGrid into Amazon Redshift

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

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How SendGrid entities map to Amazon Redshift

SendGrid entityAmazon Redshift objectNotes
messagessendgrid_messagesid PK · custom fields → SUPER 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 Amazon Redshift?

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

How does the SendGrid to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

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