SUMA CRM → Redash
AI-first ETL from SUMA CRM into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads SUMA CRM into Redash
Datrise syncs SUMA CRM's contacts, accounts, deals, activities, and lifecycle 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
SUMA CRM: European CRM for SMB and mid-market sales teams.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How SUMA CRM entities map to Redash
| SUMA CRM entity | Redash object | Notes |
|---|---|---|
| contacts | sumacrm_contacts | id PK · custom fields → flattened columns for query results |
| accounts | sumacrm_accounts | id PK · linked to sumacrm_contacts |
| deals | sumacrm_deals | id PK · linked to sumacrm_contacts |
| activities | sumacrm_activities | temporal columns events |
FAQ
How does Datrise handle SUMA CRM'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 SUMA CRM to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for SUMA CRM
Early access
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