DatriseAI-first ETL

SendGrid CSV Files

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

How Datrise loads SendGrid into CSV Files

Datrise syncs SendGrid's messages, templates, suppressions, bounces, and engagement events into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How SendGrid entities map to CSV Files

SendGrid entityCSV Files objectNotes
messagessendgrid_messagesid PK · custom fields → JSON-encoded strings for nested 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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the SendGrid to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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