DatriseAI-first ETL

Wealthbox Redash

AI-first ETL from Wealthbox into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Wealthbox into Redash

Datrise syncs Wealthbox'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

Wealthbox: Financial advisor CRM for clients, households, and compliance workflows.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Wealthbox entities map to Redash

Wealthbox entityRedash objectNotes
contactswealthbox_contactsid PK · custom fields → flattened columns for query results
accountswealthbox_accountsid PK · linked to wealthbox_contacts
dealswealthbox_dealsid PK · linked to wealthbox_contacts
activitieswealthbox_activitiestemporal columns events

FAQ

How does Datrise handle Wealthbox'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 Wealthbox to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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