Merge to Redash Integration
AI-first ETL from Merge into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Merge into Redash
Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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
Merge: Unified API across HR, CRM, and accounting tools.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Merge entities map to Redash
| Merge entity | Redash object | Notes |
|---|---|---|
| linked accounts | merge_linked_accounts | id PK · custom fields → flattened columns for query results |
| employees | merge_employees | id PK · linked to merge_linked_accounts |
| candidates | merge_candidates | id PK · linked to merge_linked_accounts |
| contacts | merge_contacts | id PK · linked to merge_linked_accounts |
FAQ
How does Datrise handle Merge'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 Merge to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Merge
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