DatriseAI-first ETL

PostgreSQL to Microsoft SQL Server Integration

AI-first ETL from PostgreSQL into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads PostgreSQL into Microsoft SQL Server

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

PostgreSQL: Self-managed PostgreSQL instances.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How PostgreSQL entities map to Microsoft SQL Server

PostgreSQL entityMicrosoft SQL Server objectNotes
tableshp_postgres_tablesid PK · custom fields → NVARCHAR(MAX) JSON columns
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL's custom fields in Microsoft SQL Server?

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 Microsoft SQL Server types.

How does the PostgreSQL to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

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