Drift to Microsoft SQL Server Integration

How Datrise loads Drift into Microsoft SQL Server

Datrise syncs Drift's conversations, contacts, playbooks, meetings, messages, and accounts 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

Drift: Conversational marketing and sales chat.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Drift entities map to Microsoft SQL Server

Drift entity	Microsoft SQL Server object	Notes
conversations	`drift_conversations`	id PK · custom fields → NVARCHAR(MAX) JSON columns
contacts	`drift_contacts`	id PK · linked to drift_conversations
playbooks	`drift_playbooks`	id PK · linked to drift_conversations
meetings	`drift_meetings`	id PK · linked to drift_conversations

FAQ

How does Datrise handle Drift'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 Drift 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

Early access

Connect Drift to Microsoft SQL Server the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.