DatriseAI-first ETL

Intacct Apache Superset

AI-first ETL from Intacct into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Intacct into Apache Superset

Datrise syncs Intacct's records, events, and configuration objects into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Intacct: SaaS or API data source for analytics and warehouse sync.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Intacct entities map to Apache Superset

Intacct entityApache Superset objectNotes
recordsintacct_recordsid PK · custom fields → flattened columns for the explore UI
eventsintacct_eventstemporal columns for time-series charts events
configuration objectsintacct_configuration_objectsid PK · linked to intacct_records

FAQ

How does Datrise handle Intacct's custom fields in Apache Superset?

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

How does the Intacct to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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