USE CASES
Integrations for real data work
Five ways teams use DataLug to move and shape data across the systems they already run, each built on connectors available today.
Sync CRM to the warehouse
Keep analytics current by moving Salesforce records into Snowflake on a schedule, with transforms in between.
Salesforce → Snowflake
Consolidate files to a sheet
Collect files dropped in S3 and Dropbox, normalize them, and land a clean summary in Google Sheets.
S3 + Dropbox → Google Sheets
Replicate an operational database
Move Oracle tables into PostgreSQL for reporting, without putting load on the source system.
Oracle → PostgreSQL
Load a spreadsheet into a database
Turn a maintained Google Sheet into structured PostgreSQL rows your applications can query.
Google Sheets → PostgreSQL
Notify your team on run events
Post pipeline results and alerts to Slack or Microsoft Teams so the right people see them fast.
DataLug → Slack / Teams