SuiteCRM → Looker
AI-first ETL from SuiteCRM into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads SuiteCRM into Looker
Datrise syncs SuiteCRM's open-source CRM entities, custom modules, and configurable workflows into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
SuiteCRM: Open-source CRM for customizable sales and customer operations.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How SuiteCRM entities map to Looker
| SuiteCRM entity | Looker object | Notes |
|---|---|---|
| open-source CRM entities | suitecrm_open_source_crm_entities | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| custom modules | suitecrm_custom_modules | id PK · linked to suitecrm_open_source_crm_entities |
| configurable workflows | suitecrm_configurable_workflows | id PK · linked to suitecrm_open_source_crm_entities |
FAQ
How does Datrise handle SuiteCRM's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the SuiteCRM to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for SuiteCRM
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