Salesflare → Looker
AI-first ETL from Salesflare into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Looker
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Salesflare entities map to Looker
| Salesflare entity | Looker object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | date/time dimension columns events |
FAQ
How does Datrise handle Salesflare's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Salesflare to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
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