Lofty to Azure Synapse Integration

How Datrise loads Lofty into Azure Synapse

Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests 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

Lofty: Real estate CRM with IDX search and AI lead nurture.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Lofty entities map to Azure Synapse

Lofty entity	Azure Synapse object	Notes
leads	`lofty_leads`	id PK · custom fields → NVARCHAR(MAX) JSON columns
contacts	`lofty_contacts`	id PK · linked to lofty_leads
listings	`lofty_listings`	id PK · linked to lofty_leads
property searches	`lofty_property_searches`	id PK · linked to lofty_leads

FAQ

How does Datrise handle Lofty'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 Lofty to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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