DatriseAI-first ETL

Maximizer CRM to Azure Synapse Integration

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

How Datrise loads Maximizer CRM into Azure Synapse

Datrise syncs Maximizer CRM's address book entries, opportunities, customer service cases, interactions, notes, and campaigns 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

Maximizer CRM: Long-standing CRM for address book and case tracking.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Maximizer CRM entities map to Azure Synapse

Maximizer CRM entityAzure Synapse objectNotes
address book entriesmaximizer_address_book_entriesid PK · custom fields → NVARCHAR(MAX) JSON columns
opportunitiesmaximizer_opportunitiesid PK · linked to maximizer_address_book_entries
customer service casesmaximizer_customer_service_casesid PK · linked to maximizer_address_book_entries
interactionsmaximizer_interactionsid PK · linked to maximizer_address_book_entries

FAQ

How does Datrise handle Maximizer 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 Maximizer 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

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