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 entity | Azure Synapse object | Notes |
|---|---|---|
| companies | codat_companies | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | codat_accounts | id PK · linked to codat_companies |
| invoices | codat_invoices | id PK · linked to codat_companies |
| bills | codat_bills | id 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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Early access
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