Used For

• +**Your data pipelines crash every weekend requiring emergency fixes** → Set visual workflows once, they run automatically without 3am panic calls
• +**Analysts wait days for IT to pull reports from 6 different systems** → Self-serve data flows that update hourly, analysts get their data independence
• +**Your Salesforce data sits isolated while marketing uses different numbers** → Sync everything to your warehouse, everyone works from the same truth
• +Handles 100+ connectors without custom API coding - connects to weird systems your developers don't want to touch
• +Processes millions of rows in seconds using your warehouse's horsepower instead of choking a separate server

Best For

• >Your legacy data tools break every weekend at 3am and your IT team is burned out
• >You have a cloud warehouse but need someone non-technical to build data flows
• >Manual data exports are eating 15+ hours of your team's week

Not For

• -Small teams under 50 people without a cloud data warehouse — you're paying enterprise costs for infrastructure you don't have
• -Companies wanting simple scheduled exports — this is overkill if you just need basic CSV dumps
• -Pure no-code users expecting zero learning curve — you'll hit walls on transformations without some SQL knowledge

Pairs With

• *Snowflake (the actual warehouse where your transformed data lives and gets crunched)
• *Tableau (where executives want pretty dashboards from all that cleaned data)
• *Salesforce (one of 100+ sources you can pull from without writing API calls)
• *dbt (for the heavy transformation logic that visual drag-and-drop can't handle)
• *Slack (where you get alerts when pipelines succeed instead of emergency failure notifications)
• *Airflow (what you're probably replacing because writing Python DAGs was sucking your soul)

The Catch

• !Usage-based pricing scales fast with data volume — what starts cheap can get expensive as you process more
• !You need a cloud warehouse first (Snowflake, BigQuery, etc.) which adds another monthly bill to your stack
• !The visual interface is friendly but complex transformations still require SQL skills your team might not have

Bottom Line

Turns data plumbing from a coding nightmare into drag-and-drop, but your wallet will feel every row processed.