Teradata to Microsoft SQL Server Integration

How Datrise loads Teradata into Microsoft SQL Server

Datrise syncs Teradata's tables, rows, schemas, indexes, primary indexes, and query history 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

Teradata: Teradata analytical database for enterprise workloads.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Teradata entities map to Microsoft SQL Server

Teradata entity	Microsoft SQL Server object	Notes
tables	`teradata_d_tables`	id PK · custom fields → NVARCHAR(MAX) JSON columns
rows	`teradata_d_rows`	id PK · linked to teradata_d_tables
schemas	`teradata_d_schemas`	id PK · linked to teradata_d_tables
indexes	`teradata_d_indexes`	id PK · linked to teradata_d_tables

FAQ

How does Datrise handle Teradata'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 Teradata 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

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