Convex to Microsoft SQL Server Integration

How Datrise loads Convex into Microsoft SQL Server

Datrise syncs Convex's documents, tables, functions, indexes, mutations, and queries 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

Convex: Reactive backend with a document database.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Convex entities map to Microsoft SQL Server

Convex entity	Microsoft SQL Server object	Notes
documents	`convex_documents`	id PK · custom fields → NVARCHAR(MAX) JSON columns
tables	`convex_tables`	id PK · linked to convex_documents
functions	`convex_functions`	id PK · linked to convex_documents
indexes	`convex_indexes`	id PK · linked to convex_documents

FAQ

How does Datrise handle Convex'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 Convex 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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