Log uploaded file metadata into a database
Whenever a new file is uploaded in ezidox, insert a row into SQL Server to track file paths, file sizes, and owner details.
Google for Startups AcceleratorHow Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
ezidox Explore ezidox →
TriggersFires when a new file is uploaded to ezidox.
Fires when a file in ezidox is shared with someone new.
Fires when a folder's contents change in ezidox.
Uploads a file to ezidox.
Creates a new folder in ezidox.
Shares a file from ezidox with a link or user.
SQL Server Explore SQL Server →
TriggersFires when a new row is added to a table in SQL Server.
Fires when an existing row changes in SQL Server.
Fires when a scheduled query in SQL Server finishes running.
Runs a SQL query against SQL Server and returns the result.
Writes a new or updated row to SQL Server.
Syncs a table in SQL Server with data from another source.
More ezidox + SQL Server workflows
See all ezidox + SQL Server integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Log uploaded file metadata into a database” between ezidox and SQL Server?
Yes — describe it in the box above and Knit's Integrations Agent researches ezidox and SQL Server's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
What's the most common Databases & Warehouses + Files & Storage automation?
Writing file metadata (name, folder, uploader, timestamp) from ezidox into a table in SQL Server as files are added, for audit or usage reporting.
Does this sync the actual file contents, or just metadata?
By default just metadata — the Agent can also extract and sync structured content from a file (like a CSV) into SQL Server if that's what you need.