DatriseAI-first ETL

CockroachDB to Microsoft SQL Server Integration

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

How Datrise loads CockroachDB into Microsoft SQL Server

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds 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

CockroachDB: Distributed SQL with survivable multi-region consistency.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How CockroachDB entities map to Microsoft SQL Server

CockroachDB entityMicrosoft SQL Server objectNotes
tablescockroachdb_tablesid PK · custom fields → NVARCHAR(MAX) JSON columns
rowscockroachdb_rowsid PK · linked to cockroachdb_tables
schemascockroachdb_schemasid PK · linked to cockroachdb_tables
secondary indexescockroachdb_secondary_indexesid PK · linked to cockroachdb_tables

FAQ

How does Datrise handle CockroachDB'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 CockroachDB 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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