DatriseAI-first ETL

SendGrid to Microsoft SQL Server Integration

AI-first ETL from SendGrid into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads SendGrid into Microsoft SQL Server

Datrise syncs SendGrid's messages, contacts, delivery events, bounces, opens, and marketing campaigns into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

SendGrid: Transactional email delivery and engagement events.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How SendGrid entities map to Microsoft SQL Server

SendGrid entityMicrosoft SQL Server objectNotes
messagessendgrid_core_messagesid PK · custom fields → NVARCHAR(MAX) JSON columns
contactssendgrid_core_contactsid PK · linked to sendgrid_core_messages
delivery eventssendgrid_core_delivery_eventsdatetime2 events
bouncessendgrid_core_bouncesid PK · linked to sendgrid_core_messages

FAQ

How does Datrise handle SendGrid's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the SendGrid to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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