Streak → Microsoft SQL Server
AI-first ETL from Streak into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Streak into Microsoft SQL Server
Datrise syncs Streak's contacts, accounts, deals, activities, and lifecycle events 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
Streak: CRM for SMB teams managing pipeline, contacts, and customer activity.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Streak entities map to Microsoft SQL Server
| Streak entity | Microsoft SQL Server object | Notes |
|---|---|---|
| contacts | streak_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | streak_accounts | id PK · linked to streak_contacts |
| deals | streak_deals | id PK · linked to streak_contacts |
| activities | streak_activities | datetime2 events |
FAQ
How does Datrise handle Streak'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 Streak 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
More destinations for Streak
More sources for Microsoft SQL Server
- Apptivo → Microsoft SQL Server
- folk → Microsoft SQL Server
- Clay → Microsoft SQL Server
- Day.ai → Microsoft SQL Server
- Twenty CRM → Microsoft SQL Server
- Maximizer CRM → Microsoft SQL Server
- Method:CRM → Microsoft SQL Server
- EngageBay → Microsoft SQL Server
- Megaplan → Microsoft SQL Server
- 1С:CRM → Microsoft SQL Server
- RD Station CRM → Microsoft SQL Server
- Agendor → Microsoft SQL Server
Early access
Connect Streak 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.