EspoCRM → Amazon QuickSight
AI-first ETL from EspoCRM into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Amazon QuickSight
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How EspoCRM entities map to Amazon QuickSight
| EspoCRM entity | Amazon QuickSight object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns for analyses |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | date/time fields events |
FAQ
How does Datrise handle EspoCRM's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the EspoCRM to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
Connect EspoCRM to Amazon QuickSight the easy way
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