The verdict
Even split — pick on price or use case. We'd pick Froxy for most teams that need estonia-based budget proxy provider with 10m+ residential/mobile/datacenter ips across 200+ locations, plus serp and e-commerce scraping apis., but the right answer depends on your workload — read the full review of each below.
Froxy vs Storm Proxies — frequently asked
Which is cheaper, Froxy or Storm Proxies?
On the entry tier, Froxy is the lower-cost option per gigabyte. Froxy starts at $2.69/GB and Storm Proxies starts at $14.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, Froxy or Storm Proxies?
Froxy has the larger advertised residential pool. Froxy reports 10M+ IPs (vendor-stated; independent reviews cite ~8M) across 200+ countries; Storm Proxies reports 700K+ IPs across 50+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, Froxy or Storm Proxies?
Storm Proxies edges ahead on overall success rate in the available benchmark data (our tests, independent lab reports and published specs). That said, the right choice depends on your target site mix — Froxy is typically picked for ["Residential" workloads, while Storm Proxies is often chosen for datacenter use cases.
Which has better support and SLA, Froxy or Storm Proxies?
Storm Proxies carries the higher trust score in our directory based on documented compliance, support responsiveness, and customer-base feedback. Both offer 24/7 channels at upper plans; only Froxy gates dedicated account managers and Storm Proxies gates them on enterprise tiers.
Should I pick Froxy or Storm Proxies in 2026?
Pick Froxy when Estonia-based budget proxy provider with 10M+ residential/mobile/datacenter IPs across 200+ locations, plus SE. Pick Storm Proxies when Budget backconnect rotating residential and datacenter proxies with unlimited bandwidth, a large advertised IP. Most teams that consider both end up with either based on price or specific use-case fit.