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Pricing models, cost benchmarks, and data pipeline spend analysis

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We Moved 26M Rows for $81. Fivetran Estimated It at $1.9K.

· 13 min read
Puneet Gupta
Founder, Supaflow

For a while, we used a simple line: why pay 5x more for Fivetran?

It was a good line. Easy to understand. Easy to remember.

Then we ran the numbers on a real high-volume Supaflow workspace and realized we were underselling it.

The difference was not 5x. It was more than 20x.

In one real Supaflow workspace, over a seven-day usage window from June 13 to June 19, 2026, we ran 453 jobs and moved 26,297,690 rows across 11,102 objects (individual tables and streams) and a broad source and destination test matrix. Supaflow used 26.98 credits to do it.

This was not a neat one-connector benchmark. The workspace had 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. Those jobs loaded into Snowflake, S3 Data Lake, PostgreSQL, and SQL Server, and even pushed data back out through reverse ETL into Salesforce and Salesforce Marketing Cloud.

We also did not give the system ideal conditions. We ran the matrix concurrently to put real pressure on it: source APIs, destination writes, object-level orchestration, schema work, resets, full resyncs, and many jobs competing for runtime at once.

That is why I trust the result more. It is closer to a busy customer account than a polished demo where one fast source writes to one fast destination in isolation.

At the current Professional list price of $3 per credit, that workload is $80.95 in Supaflow usage.

Then we entered the same row count, 26,297,690, into Fivetran's 2026 Pricing Estimator as a Salesforce connection on the Standard plan for a 1-200 person company.

The estimate came back at $1,908.86 per month.

That is not 5x. It is more than 20x lower.