SFTP Bulk to Apache Superset Integration
AI-first ETL from SFTP Bulk into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads SFTP Bulk into Apache Superset
Datrise syncs SFTP Bulk's files, directories, rows, file batches, modification timestamps, and file formats into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
SFTP Bulk: Bulk file drops delivered over SFTP.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How SFTP Bulk entities map to Apache Superset
| SFTP Bulk entity | Apache Superset object | Notes |
|---|---|---|
| files | sftp_bulk_files | id PK · custom fields → flattened columns for the explore UI |
| directories | sftp_bulk_directories | id PK · linked to sftp_bulk_files |
| rows | sftp_bulk_rows | id PK · linked to sftp_bulk_files |
| file batches | sftp_bulk_file_batches | id PK · linked to sftp_bulk_files |
FAQ
How does Datrise handle SFTP Bulk's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the SFTP Bulk to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect SFTP Bulk to Apache Superset 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.