Most Data Platforms Create Financial Whiplash
Hidden connector fees, consumption models you can't forecast, and labor costs that never make it into the contract. These platforms charge in ways that don't appear until the invoice does, and we break down each one.
EASL: Data Movement Priced Around What You’re Building
EASL moves data across cloud, hybrid, and on-prem systems where governance, reliability, and scale actually matter. Zero-record-loss architecture, SOC 2 Type II certification, and managed support let you run enterprise-grade integration without building a team around it. And because pricing is scoped to the work you're doing, what you pay stays tied to the value you get.
No Connector Fees
Add as many data sources as your strategy needs. Connecting a new system is never a billing event.
Initiative-Level Pricing
Costs tie to what you're building, not rows moved or credits burned.
Governance Comes Standard
Audit logs, automated error resolution, validation, and compliance tooling are included, not premium add-ons discovered after signing.
Minimal Team Overhead
Managed support absorbs the operational load. You don't need 3–6 dedicated engineers just to keep pipelines running.
What’s In the Fine Print
These are the pricing mechanisms that keep data teams overpaying quarter after quarter. Know them before you sign anything.
Per-Row / Per-MAR Billing
You're billed on rows moved each month, but you don't control upstream volume. Schema changes, backfills, deduplication reruns, and deletes all count as billable rows.
Per-Connector Fees
You pay a standing fee for every connected source, regardless of usage. The more systems you integrate, the more you owe, with nothing extra to show for it.
Consumption Credit Prepayment
You buy a block of credits upfront and draw against them as jobs run. Seasonal workloads and shifting architectures make accurate forecasting nearly impossible, and overages get expensive fast.
Hidden Team Overhead
Contract pricing never mentions the engineers you'll need to operate the platform. Specialized, certified staff can cost more than the software itself, and no vendor puts it in writing.
Opaque Sales-Led Pricing
With no public pricing, you negotiate against a counterparty who knows exactly what comparable companies paid. That information gap reliably produces overpayment.
Tool Stack Fragmentation
Most platforms solve only part of the problem, so you bolt on transformation, data quality, and reverse ETL tools. Each one adds licensing, maintenance, and headcount.
Pricing Model Comparison
See What You’re Paying
Model your environment across leading data movement platforms and see where the costs hide. Enter a few details to get your estimate.
