DatriseAI-first ETL

SFTP Bulk to Microsoft SQL Server Integration

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

How Datrise loads SFTP Bulk into Microsoft SQL Server

Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats 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

SFTP Bulk: Bulk file drops delivered over SFTP.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How SFTP Bulk entities map to Microsoft SQL Server

SFTP Bulk entityMicrosoft SQL Server objectNotes
filessftp_bulk_filesid PK · custom fields → NVARCHAR(MAX) JSON columns
directoriessftp_bulk_directoriesid PK · linked to sftp_bulk_files
rowssftp_bulk_rowsid PK · linked to sftp_bulk_files
file batchessftp_bulk_file_batchesid PK · linked to sftp_bulk_files

FAQ

How does Datrise handle SFTP Bulk'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 SFTP Bulk 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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