NoBull SaaS

What does Portable do?

Tool: Portable

The Tech: Data Pipeline

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Their Pitch

Drowning in data requests? We're here to help.

Our Take

It's a no-code data pipeline builder that connects your scattered SaaS tools to your data warehouse. Focuses on the weird, niche apps that bigger ETL tools ignore.

Deep Dive & Reality Check

Used For

  • +**Your BI team spends 15 hours/week manually exporting data from project tools and billing systems** → Automated hourly syncs to your warehouse, analysts get their weekends back
  • +**Engineers estimate 3 weeks to build a Zendesk connector and your CEO wants dashboards next Monday** → Pre-built connector syncs tickets in 30 minutes
  • +**Your fraud team needs Sift data in BigQuery but you're the only company using Sift apparently** → Custom connectors built in days, not months, at no extra cost
  • +Handles the boring reliability stuff - retries failed syncs, respects rate limits, sends Slack alerts when things break
  • +Schema changes don't break everything - adapts automatically when your SaaS tools add new fields

Best For

  • >Your data team is drowning in requests to sync random tools like Chargebee and Shortcut
  • >You're manually exporting CSV files from 10+ apps every week for reports
  • >Tried Stitch or Airbyte but they don't support half your software stack

Not For

  • -Solo founders or tiny teams - fixed pricing starts high and you probably don't need 1,500 connectors
  • -Companies with 5+ data engineers who prefer building custom Airflow pipelines
  • -Anyone wanting a free tier or trial - pricing isn't public and there's no self-serve option

Pairs With

  • *BigQuery (where your data actually lives - Portable just moves it there)
  • *dbt (to transform the raw data Portable dumps into something analysts can use)
  • *Slack (where Portable sends alerts and where your team complains when syncs break)
  • *Tableau (to build the dashboards that justify paying for all this data infrastructure)
  • *Airflow (for the complex transformations that Portable's no-code approach can't handle)
  • *Snowflake (another popular warehouse destination for teams with bigger budgets)

The Catch

  • !You're dependent on them for custom connectors, so if they don't support your weird internal tool, you wait
  • !Fixed pricing sounds great until you realize you're paying for 1,495 connectors you'll never use
  • !Initial warehouse schema setup still takes 1-2 hours for complex sources like SharePoint

Bottom Line

Syncs data from 1,500+ SaaS apps (including the obscure ones) so your analysts stop asking engineers to build custom connectors.