Intacct to DuckDB Integration
AI-first ETL from Intacct into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intacct into DuckDB
Datrise syncs Intacct's journal entries, accounts, invoices, bills, customers, and GL transactions into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Intacct: Cloud financial management and general ledger.
DuckDB: In-process analytics database for fast local OLAP.
How Intacct entities map to DuckDB
| Intacct entity | DuckDB object | Notes |
|---|---|---|
| journal entries | intacct_journal_entries | id PK · custom fields → JSON or STRUCT columns |
| 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Intacct to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for Intacct
Early access
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