EspoCRM → Redash
AI-first ETL from EspoCRM into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Redash
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How EspoCRM entities map to Redash
| EspoCRM entity | Redash object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns for query results |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | temporal columns events |
FAQ
How does Datrise handle EspoCRM's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the EspoCRM to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for EspoCRM
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