Even split — pick on price or use case based on available benchmark data — our tests, independent lab reports and published specs. Last updated Aug 30, 2026.
Even split — pick on price or use case. We'd pick Infatica for most teams that need infatica is a singapore-registered proxy and web-data platform (founded 2019) selling rotating residential, ipv6 residential, static isp, mobile, and datacenter proxies plus scraping apis, with a stated 35m+ residential ip pool, city/zip targeting, and iso-certified, opt-in sdk sourcing., but the right answer depends on your workload — read the full review of each below.
On the entry tier, PIA Proxy is the lower-cost option per gigabyte. Infatica starts at $3.84/GB and PIA Proxy starts at $2.03/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Infatica has the larger advertised residential pool. Infatica reports 35M+ residential IPs (vendor claim) across 195+ countries; PIA Proxy reports VPN Network across 80+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
PIA Proxy 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 — Infatica is typically picked for residential workloads, while PIA Proxy is often chosen for datacenter use cases.
PIA Proxy 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 Infatica gates dedicated account managers and PIA Proxy gates them on enterprise tiers.
Pick Infatica when Infatica is a Singapore-registered proxy and web-data platform (founded 2019) selling rotating residential, IP. Pick PIA Proxy when PIA S5 Proxy was a pay-per-IP SOCKS5 residential proxy provider — its official domain no longer resolves; not . Most teams that consider both end up with either based on price or specific use-case fit.
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