Keap → Azure Synapse
AI-first ETL from Keap into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Keap into Azure Synapse
Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows 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
Keap: SMB CRM with pipeline automation, email, and appointment flows.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Keap entities map to Azure Synapse
| Keap entity | Azure Synapse object | Notes |
|---|---|---|
| SMB contacts | keap_smb_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| opportunities | keap_opportunities | id PK · linked to keap_smb_contacts |
| automations | keap_automations | id PK · linked to keap_smb_contacts |
| appointment workflows | keap_appointment_workflows | id PK · linked to keap_smb_contacts |
FAQ
How does Datrise handle Keap'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 Keap to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
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