DatriseAI-first ETL

Moskit CRM to Amazon QuickSight Integration

AI-first ETL from Moskit CRM into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Moskit CRM into Amazon QuickSight

Datrise syncs Moskit CRM's contacts, companies, deals, funnel stages, tasks, and sales goals 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

Moskit CRM: Sales CRM for Brazilian inside-sales teams.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Moskit CRM entities map to Amazon QuickSight

Moskit CRM entityAmazon QuickSight objectNotes
contactsmoskit_contactsid PK · custom fields → flattened columns for analyses
companiesmoskit_companiesid PK · linked to moskit_contacts
dealsmoskit_dealsid PK · linked to moskit_contacts
funnel stagesmoskit_funnel_stagesid PK · linked to moskit_contacts

FAQ

How does Datrise handle Moskit CRM'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 Moskit CRM to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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