DatriseAI-first ETL

SendGrid Looker Studio

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

How Datrise loads SendGrid into Looker Studio

Datrise syncs SendGrid's messages, templates, suppressions, bounces, and engagement events into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How SendGrid entities map to Looker Studio

SendGrid entityLooker Studio objectNotes
messagessendgrid_messagesid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the SendGrid to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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