DatriseAI-first ETL

SendGrid Amazon QuickSight

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

How Datrise loads SendGrid into Amazon QuickSight

Datrise syncs SendGrid's messages, templates, suppressions, bounces, and engagement events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How SendGrid entities map to Amazon QuickSight

SendGrid entityAmazon QuickSight objectNotes
messagessendgrid_messagesid PK · custom fields → flattened columns for analyses
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 QuickSight?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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