Intacct to Redash Integration
AI-first ETL from Intacct into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intacct into Redash
Datrise syncs Intacct's journal entries, accounts, invoices, bills, customers, and GL transactions into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Intacct: Cloud financial management and general ledger.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Intacct entities map to Redash
| Intacct entity | Redash object | Notes |
|---|---|---|
| journal entries | intacct_journal_entries | id PK · custom fields → flattened columns for query results |
| accounts | intacct_accounts | id PK · linked to intacct_journal_entries |
| invoices | intacct_invoices | id PK · linked to intacct_journal_entries |
| bills | intacct_bills | id PK · linked to intacct_journal_entries |
FAQ
How does Datrise handle Intacct's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Intacct to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Intacct
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