DatriseAI-first ETL

Efficy CRM Azure Synapse

AI-first ETL from Efficy CRM into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Efficy CRM into Azure Synapse

Datrise syncs Efficy CRM'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

Efficy CRM: European CRM for SMB and mid-market sales teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Efficy CRM entities map to Azure Synapse

Efficy CRM entityAzure Synapse objectNotes
contactsefficy_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsefficy_accountsid PK · linked to efficy_contacts
dealsefficy_dealsid PK · linked to efficy_contacts
activitiesefficy_activitiesdatetime2 events

FAQ

How does Datrise handle Efficy CRM'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 Efficy CRM 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

Connect Efficy CRM 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.