DatriseAI-first ETL

SendGrid to Looker Studio Integration

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, contacts, delivery events, bounces, opens, and marketing campaigns 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 email delivery and engagement events.

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

How SendGrid entities map to Looker Studio

SendGrid entityLooker Studio objectNotes
messagessendgrid_core_messagesid PK · custom fields → flattened columns for chart fields
contactssendgrid_core_contactsid PK · linked to sendgrid_core_messages
delivery eventssendgrid_core_delivery_eventsdate dimension columns events
bouncessendgrid_core_bouncesid PK · linked to sendgrid_core_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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