DatriseAI-first ETL

Codat to Azure Synapse Integration

AI-first ETL from Codat into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Codat into Azure Synapse

Datrise syncs Codat's companies, accounts, invoices, bills, journal entries, and payments into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Codat: Unified API for accounting and banking data.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Codat entities map to Azure Synapse

Codat entityAzure Synapse objectNotes
companiescodat_companiesid PK · custom fields → NVARCHAR(MAX) JSON columns
accountscodat_accountsid PK · linked to codat_companies
invoicescodat_invoicesid PK · linked to codat_companies
billscodat_billsid PK · linked to codat_companies

FAQ

How does Datrise handle Codat's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Codat to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

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