DatriseAI-first ETL

SFTP Bulk to Chartio Integration

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

How Datrise loads SFTP Bulk into Chartio

Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

SFTP Bulk: Bulk file drops delivered over SFTP.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How SFTP Bulk entities map to Chartio

SFTP Bulk entityChartio objectNotes
filessftp_bulk_filesid PK · custom fields → flattened columns for visual SQL
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 Chartio?

Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.

How does the SFTP Bulk to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect SFTP Bulk to Chartio the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.