MaxoPerf vs Gatling Enterprise alternative

How to read this comparison

Gatling Enterprise is a Gatling-only cloud for teams writing simulations in Scala or its Java DSL. This page compares it with MaxoPerf, a multi-engine, multi-cloud alternative with simple flat-plan pricing instead of a credit-consumption model.

Feature matrix

Topic	MaxoPerf	Gatling Enterprise
Entry price	Starter $29/mo · Pro $199/mo	Basic €89/mo annual (€99/mo monthly), 1 load generator (pricing)
Included free tier	100 VU-hours/month, self-serve signup	None published on the pricing page; lowest paid tier is Basic
Max test duration	Starter 6 h · Pro 24 h	Basic 1 h · Team 5 h (pricing)
Max concurrent virtual users	Starter 1,000 · Pro 10,000	Basic 60,000 VUs (pricing)
Clouds & regions	AWS + GCP + Azure, 130 managed regions	Managed regions on AWS only; private locations on your own AWS, Azure, GCP, or Kubernetes still consume credits (private locations doc)
Bring your own cloud	Included from Pro ($199/mo)	Private locations supported but metered as load-generator-minute credits, not a flat plan
Results latency	< 10s aggregation, ~1s live streaming	Real-time reporting dashboards during a run
Engines	21 executors: JMeter, k6, Gatling, Locust, Selenium, and more	Gatling-engine-only, with JMeter script converters
Data retention	Starter 30-day · Pro 90-day	1–3 months reported (TrustRadius)

Competitor data researched 2026-07-06 from the linked public sources; vendor terms change — re-verify before purchase.

Where MaxoPerf is intentionally focused

MaxoPerf is designed for teams that want engine flexibility and predictable plan pricing:

• 21 executors, including Gatling, JMeter, k6, Locust, and Selenium, in one product;
• managed AWS, GCP, and Azure regions — 130 managed regions — plus bring-your-own-cloud included from Pro, not metered by credits;
• < 10s result aggregation with ~1s live streaming while a run is in progress;
• run artifacts, logs, metrics, and tags kept with the run for later comparison;
• a flat $29/mo entry price instead of estimating load-generator-minute credit spend.

Where Gatling Enterprise may still fit

Teams with a heavy existing investment in Gatling’s Scala or Java DSL simulations, and workflows already tuned to its credit-based cost model, may keep it while other engines move to MaxoPerf.

Migration notes

Convert one Gatling simulation to MaxoPerf’s Gatling executor first — do not attempt a bulk conversion. Run it once, compare the aggregated result against the incumbent report, and only move additional simulations once the team trusts the new result model.

Buying caution

Gatling’s credit pricing depends on load-generator count and test duration, which can be harder to estimate up front than a flat VU-hour plan. Re-verify current Gatling pricing and credit costs directly before committing budget, and compare against MaxoPerf’s current published plans.