DatriseAI-first ETL

SuiteCRM Microsoft SQL Server

AI-first ETL from SuiteCRM into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads SuiteCRM into Microsoft SQL Server

Datrise syncs SuiteCRM's open-source CRM entities, custom modules, and configurable workflows into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

SuiteCRM: Open-source CRM for customizable sales and customer operations.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How SuiteCRM entities map to Microsoft SQL Server

SuiteCRM entityMicrosoft SQL Server objectNotes
open-source CRM entitiessuitecrm_open_source_crm_entitiesid PK · custom fields → NVARCHAR(MAX) JSON columns
custom modulessuitecrm_custom_modulesid PK · linked to suitecrm_open_source_crm_entities
configurable workflowssuitecrm_configurable_workflowsid PK · linked to suitecrm_open_source_crm_entities

FAQ

How does Datrise handle SuiteCRM's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the SuiteCRM to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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