Salesflare → Amazon QuickSight
AI-first ETL from Salesflare into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Amazon QuickSight
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Salesflare entities map to Amazon QuickSight
| Salesflare entity | Amazon QuickSight object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for analyses |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | date/time fields events |
FAQ
How does Datrise handle Salesflare's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Salesflare to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
Connect Salesflare to Amazon QuickSight the easy way
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