DatriseAI-first ETL

JobNimbus Metabase

AI-first ETL from JobNimbus into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads JobNimbus into Metabase

Datrise syncs JobNimbus's contacts, accounts, deals, activities, and lifecycle events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

JobNimbus: Construction CRM for jobs, estimates, and contractor pipelines.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How JobNimbus entities map to Metabase

JobNimbus entityMetabase objectNotes
contactsjobnimbus_contactsid PK · custom fields → flattened columns for the question builder
accountsjobnimbus_accountsid PK · linked to jobnimbus_contacts
dealsjobnimbus_dealsid PK · linked to jobnimbus_contacts
activitiesjobnimbus_activitiestemporal columns for trends events

FAQ

How does Datrise handle JobNimbus's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the JobNimbus to Metabase sync stay up to date?

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

Related pipelines

Early access

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