BoomTown → Azure Synapse
AI-first ETL from BoomTown into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads BoomTown into Azure Synapse
Datrise syncs BoomTown'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
BoomTown: Real estate CRM for leads, listings, and agent follow-up.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How BoomTown entities map to Azure Synapse
| BoomTown entity | Azure Synapse object | Notes |
|---|---|---|
| contacts | boomtown_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | boomtown_accounts | id PK · linked to boomtown_contacts |
| deals | boomtown_deals | id PK · linked to boomtown_contacts |
| activities | boomtown_activities | datetime2 events |
FAQ
How does Datrise handle BoomTown'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 BoomTown 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 BoomTown to Azure Synapse 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.