DatriseAI-first ETL

Persistiq to Amazon QuickSight Integration

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

How Datrise loads Persistiq into Amazon QuickSight

Datrise syncs Persistiq's prospects, campaigns, sequences, email events, users, and dispositions 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

Persistiq: Outbound sales sequences and prospect tracking.

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

How Persistiq entities map to Amazon QuickSight

Persistiq entityAmazon QuickSight objectNotes
prospectspersistiq_prospectsid PK · custom fields → flattened columns for analyses
campaignspersistiq_campaignsid PK · linked to persistiq_prospects
sequencespersistiq_sequencesid PK · linked to persistiq_prospects
email eventspersistiq_email_eventsdate/time fields events

FAQ

How does Datrise handle Persistiq'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 Persistiq 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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