Version 1.0.64

Released August 6, 2026.

Version 1.0.64 superseded Version 1.0.63 and includes all of its changes.

SharePoint Source and Destination

Connect SharePoint Online or OneDrive for Business as a source or destination using Microsoft OAuth with a work or school account.

Source pipelines read CSV, TSV, or Excel files from a selected folder. After the initial sync, pipelines process files that are new or have been modified since the previous successful run.

Destination pipelines write CSV files or Excel workbooks using append or truncate-and-load behavior. Excel output supports one workbook per object or a single workbook for the pipeline.

• Configure SharePoint as a source
• Configure SharePoint as a destination

Sensolus Source

Connect Sensolus as a source to sync tracker inventory and location data. Devices and Geozones run as full-refresh snapshots, while Geozone Visits and Device Locations sync incrementally with progress tracked for each tracker.

Configure an initial history window and a lookback for late-arriving events.

Configure the Sensolus source

BigQuery Discovery and Incremental Syncs

BigQuery source discovery now uses the BigQuery REST metadata API instead of billed INFORMATION_SCHEMA scans. Destination-only connections skip source catalog discovery and look up only the mapped target tables.

For every BigQuery connection used as a source, turn on Enable Source Schema Discovery under Dataset Discovery before refreshing its schema. Leave this setting off for destination-only connections. Incremental timestamp cursors now use BigQuery's supported microsecond precision so later incremental runs continue successfully.

• Configure BigQuery as a source
• Configure BigQuery as a destination

Google Drive Source Reliability

Google Drive discovery now reports inaccessible spreadsheets clearly and skips worksheets with blank header columns without blocking discovery of other worksheets. Blank and formatting-only spreadsheet rows are no longer emitted as records. Nested folder paths keep spreadsheet names distinguishable, while ambiguous duplicate-name collisions are skipped without blocking discovery of unrelated objects.

This release changes how Google Drive source objects are identified. Existing pipelines continue reading their saved selections until the source schema is rebuilt, but existing mappings and cursors cannot be migrated to the new identities. Do not refresh or rebuild an existing Google Drive source schema without contacting support. Affected pipelines must be recreated and fully resynced.

Configure the Google Drive source

Private Agent Reliability

Private agents now recover more reliably from interrupted connector synchronization. Connector updates also finish promptly after synchronization completes.

Manage private agents

Connector Fixes

• PostgreSQL sources preserve time-only values and distinguish quoted identifiers that differ only by case.
• Snowflake and Amazon Redshift destinations handle identifiers containing embedded double quotes more reliably.
• Pipelines preserve supplementary Unicode characters in loaded data.
• BigQuery and Amazon Redshift destinations preserve XML source columns as text.
• Google Drive and SharePoint spreadsheet destinations preserve non-finite numeric values as text.
• S3 Data Lake schema refreshes process multiple Glue or Iceberg schemas together, reducing refresh overhead for larger catalogs.

Support

Questions about this release? Contact us at support@supa-flow.io