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, MyPrivateProxy is the lower-cost option per gigabyte. Infatica starts at $3.84/GB and MyPrivateProxy starts at $2.49/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; MyPrivateProxy reports 100,000+ dedicated IPs across 24+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
MyPrivateProxy 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 MyPrivateProxy is often chosen for datacenter use cases.
MyPrivateProxy 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 MyPrivateProxy 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 MyPrivateProxy when Veteran private datacenter proxy provider since 2010, offering dedicated and semi-dedicated IPv4 proxies for S. Most teams that consider both end up with either based on price or specific use-case fit.
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