Teamleader → Azure Synapse
AI-first ETL from Teamleader into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Teamleader into Azure Synapse
Datrise syncs Teamleader's contacts, accounts, deals, activities, and lifecycle events into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
Teamleader: European CRM for SMB and mid-market sales teams.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Teamleader entities map to Azure Synapse
| Teamleader entity | Azure Synapse object | Notes |
|---|---|---|
| contacts | teamleader_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | teamleader_accounts | id PK · linked to teamleader_contacts |
| deals | teamleader_deals | id PK · linked to teamleader_contacts |
| activities | teamleader_activities | datetime2 events |
FAQ
How does Datrise handle Teamleader's custom fields in Azure Synapse?
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 Azure Synapse types.
How does the Teamleader to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect Teamleader to Azure Synapse the easy way
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