We Moved 26M Rows for $81. Fivetran Estimated It at $1.9K.
We ran data pipelines in Supaflow from June 13 to June 19, 2026. Across those seven days, 453 jobs synced 26,297,690 rows across 11,102 objects (tables and streams), using 26.98 credits.
At the Professional list price of $3 per credit, the recorded usage came to $80.95. Fivetran's 2026 Pricing Estimator returned $1,908.86/month when we entered the same row count as MAR for a Salesforce connection on the Standard plan, with a 1–200 person company size.
| Supaflow paid list-price usage | Fivetran monthly estimate |
|---|---|
| $80.95 | $1,908.86 |
23.6× lower cost in this benchmark. This compares seven days of measured Supaflow usage with a monthly Fivetran estimate using the same row count as MAR. Processed rows and MAR are different measures; the lower-MAR scenarios below show how that assumption changes the result.
The pipelines used 30 source connections and 9 destination connections, including HubSpot, Salesforce, Oracle Transportation Management, PostgreSQL, SQL Server, Salesforce Marketing Cloud, SAP SuccessFactors, Google Analytics 4, Google Ads, Shopify, Stripe, SFTP file feeds, and Airtable. Jobs loaded into Snowflake, S3 Data Lake, PostgreSQL, and SQL Server, and used reverse ETL to send data to Salesforce and Salesforce Marketing Cloud.
We ran jobs concurrently, including full resyncs, schema changes, and resets. The results reflect those operations and the different source and destination runtimes.