DatriseAI-first ETL

Attio Microsoft SQL Server

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

How Datrise loads Attio into Microsoft SQL Server

Datrise syncs Attio's objects, lists, records, notes, and relationship workflows 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

Attio: Modern CRM source for relationship and pipeline data.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Attio entities map to Microsoft SQL Server

Attio entityMicrosoft SQL Server objectNotes
objectsattio_objectsid PK · custom fields → NVARCHAR(MAX) JSON columns
listsattio_listsid PK · linked to attio_objects
recordsattio_recordsid PK · linked to attio_objects
notesattio_notesid PK · linked to attio_objects

FAQ

How does Datrise handle Attio'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 Attio 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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