Usage-based ETL pricing scales with your data. That's a fair trade for some teams and a budgeting headache for others. Here's the actual math, using only numbers each vendor publishes.
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Quick answer: Fivetran's Free Plan covers 500,000 Monthly Active Rows, then charges a $5 base fee per connection plus an unpublished per-row rate. Hevo's Free Plan covers 1 million events/month, then $299-$849/month tiers with additional overage billing above quota. QueryFlow is a flat $29.99/month or $199.99/year for Pipelines, regardless of data volume, for the 9 sources it supports. For a small team with predictable but not-trivial volume, flat pricing removes the guesswork the usage-based models require.
Usage-based ETL pricing (Fivetran's Monthly Active Rows, Hevo's events per month) charges more as your data grows, on the logic that a bigger pipeline creates more value and should cost proportionally more. Flat-rate pricing charges the same regardless of volume, on the logic that a small team's actual usage doesn't need metering overhead, and predictability is worth more than perfectly matching cost to consumption. Neither philosophy is wrong; they suit different situations.
Fivetran's Free Plan includes 500,000 MAR for connections. Past that, a $5 base charge applies per standard connection between 1 and 1,000,000 MAR, with the formula stated as usage times a spend rate that declines as volume grows, but the spend rate itself isn't published, so a real bill beyond the free tier and the $5 minimum needs a quote. Hevo's Free Plan covers 1 million events/month; Starter is $299/month for 5 to 50 million events, and Professional is $849/month for 20 to 100 million, with usage above a plan's quota billed as additional on-demand overage.
| Fivetran | Hevo Data | QueryFlow | |
|---|---|---|---|
| Free tier | 500K MAR/mo | 1M events/mo | 14-day trial, no free tier |
| Entry paid price | $5 base + unpublished rate | $299/mo (Starter) | $29.99/mo or $199.99/yr |
| Scales with volume? | Yes | Yes, plus overage above quota | No, flat |
| Rate published in full? | No (spend rate not public) | Yes, per published tier | Yes |
| Connector count | 750+ | 150+ | 9 |
Take a small team syncing three sources, a Postgres application database, Salesforce, and a BigQuery warehouse, at a combined volume that stays under a few hundred thousand rows most months but occasionally spikes past a million during a busy sales quarter.
On Fivetran: most months land inside the 500,000 MAR free tier at $0; a spike month adds the $5-per-connection base charge plus a per-row rate that requires a Fivetran quote to know precisely. On Hevo: this volume likely stays inside the 1 million events/month Free Plan most months, with an occasional spike requiring the $299/month Starter tier or triggering on-demand overage charges. On QueryFlow Pipelines: $199.99/year, flat, every month, spike or not, because the pricing doesn't reference row or event volume at all.
A team with genuinely low, stable volume that stays inside a vendor's free tier indefinitely pays $0 on Fivetran or Hevo's free plans, less than QueryFlow's flat rate, in that specific case. Usage-based pricing is also the better fit when your source list needs a connector only Fivetran or Hevo has built, since the connector itself, not the pricing model, is what you're actually paying for at that point.
Once volume is unpredictable, growing, or already past a free tier on a usage-based platform, a flat rate stops being a convenience and starts being a real cost advantage, because the bill doesn't need to be watched or budgeted against a spend-rate table nobody outside the vendor can see. For a small team whose sources fit QueryFlow's list of 9, the $199.99/year figure is the whole story: no quote needed, no overage line item, no monthly surprise.
A flat rate removes bill unpredictability; it doesn't expand connector coverage. If a small team's actual sources include several SaaS tools outside QueryFlow's 9, no pricing model change makes QueryFlow the right single tool for that job, the honest answer there is a usage-based platform for the SaaS breadth, possibly alongside QueryFlow for the warehouse and database side.
Pull your actual row or event counts for the last three months from whichever pipeline tool you already run, or estimate from your source tables directly if you're starting fresh. If that number sits comfortably and consistently inside a vendor's free tier, month after month, a usage-based platform's free plan may genuinely be the cheapest option available. If the number is volatile, growing, or already past a free tier, run it against QueryFlow's flat $199.99/year and compare that single number to what a usage-based bill would realistically look like in a busy month, not just an average one.
For budgeting purposes, the useful comparison isn't average-month cost, it's worst-month cost. A usage-based platform's average bill can look attractive while its worst-month bill, during a data spike, a new integration, or a busy season, is the number that actually strains a small team's budget. A flat rate has no worst month; that's the entire case for it, separate from whether it happens to be cheaper on any single given month.
None of this accounts for connector breadth, which is a real, separate axis from price. A team whose sources genuinely need Fivetran's or Hevo's much larger catalogs shouldn't switch to a flat-rate tool purely on cost math if that tool doesn't actually connect to what they need. This page is about what each pricing model costs for the same workload, not a claim that every workload fits every tool's connector list equally well.
Not always. A team with genuinely low, stable volume inside a vendor's free tier can pay $0 on Fivetran or Hevo, less than QueryFlow's flat rate. Flat pricing wins once volume is unpredictable or past the free tier.
Its pricing page states the cost formula (usage times a spend rate that declines with volume) and the $5 base charge, but not the rate itself, so an exact bill beyond the free tier and base charge needs a quote.
Rows actively inserted, updated, or deleted through a connection in a given month, not a table's total size. See Monthly Active Rows (MAR), Explained for the full definition.
Yes, and it's the realistic setup for many teams: a usage-based platform for broad SaaS connector coverage, and a flat-rate native app like QueryFlow for the warehouse, database, and Salesforce/Sheets side.
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