Even split — pick on price or use case based on available benchmark data — our tests, independent lab reports and published specs. Last updated Jul 16, 2026.
Even split — pick on price or use case. We'd pick Novada for most teams that need novada is a german-registered proxy and web-scraping provider offering 100m+ residential ips across 195+ countries, plus mobile, isp and datacenter proxies and scraper/unblocker/serp apis. residential traffic starts at $0.85/gb., but the right answer depends on your workload — read the full review of each below.
On the entry tier, ProxySale is the lower-cost option per gigabyte. Novada starts at $0.85/GB and ProxySale starts at $0.07/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Novada has the larger advertised residential pool. Novada reports 100M+ residential IPs (live counter ~114M); 2M+ mobile IPs across 195+ countries; ProxySale reports Residential pool reported ~15M+ IPs (third-party); total network undisclosed, 400+ networks / 1,000+ subnets across 200+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Novada 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 — Novada is typically picked for ["Residential" workloads, while ProxySale is often chosen for ["Residential" use cases.
ProxySale 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 Novada gates dedicated account managers and ProxySale gates them on enterprise tiers.
Pick Novada when Novada is a German-registered proxy and web-scraping provider offering 100M+ residential IPs across 195+ count. Pick ProxySale when ProxySale (proxy-sale.com) is now Geonix: a budget proxy seller offering IPv4/IPv6, ISP, mobile and residentia. Most teams that consider both end up with either based on price or specific use-case fit.
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