HiveProxy vs IPBurger: Which is Better in 2026?

IPBurger achieves a 96.5% request success rate versus 93.5% for HiveProxy. For high-volume operations, this translates to meaningfully fewer retries and lower effective bandwidth costs per successful data point.

On response speed, HiveProxy averages 490ms versus 1850ms for IPBurger. The 1360ms advantage matters most for real-time data applications where response latency directly impacts downstream processing speed.

Note that performance benchmarks vary significantly based on target website, geographic routing, and time of day. The figures above reflect averages across a standardized test suite and should be validated against your specific target URLs using trial access before finalizing your provider choice.

Pricing model differences matter as much as headline numbers. Bandwidth-based pricing scales with data volume — economical when requests return small responses, expensive when scraping large media or full-page HTML. Per-IP monthly pricing is predictable and cost-effective when the same IPs are used continuously over a month, as is common in SEO monitoring and social media automation. Compare total monthly cost at your expected volume rather than the starting price alone.

When evaluating long-term value, also consider the cost of failures. A provider with a 92% success rate effectively costs 8% more than its nominal price due to wasted bandwidth on failed requests. At scale, a 5-percentage-point improvement in success rate can save more than a 10% price difference in nominal bandwidth cost.

The right proxy provider for your use case depends on factors beyond headline specifications. Consider the following dimensions when choosing between HiveProxy and IPBurger:

Target site sophistication: If your target sites use advanced bot detection (Cloudflare Enterprise, DataDome, PerimeterX), you need residential proxies with high pool diversity and strong success rates. Both providers should be tested on your actual target URLs — not on generic benchmarks — before making a decision. Sites with sophisticated detection often block IPs from known datacenter ranges regardless of the proxy provider's claimed residential classification.

Geographic requirements: HiveProxy covers 160 countries versus IPBurger's 195 countries. For projects with narrowly defined geographic targets within IPBurger's coverage area, the difference is immaterial.

Concurrency requirements: Some providers limit the number of simultaneous connections per plan tier. If your scraping pipeline is parallelized across many concurrent workers, verify the maximum concurrency supported at your target plan — bandwidth or IP count limits may not be the binding constraint.

Declared use case fit: HiveProxy is designed for web scraping, data collection, ad verification, social media management. IPBurger targets scraping, seo, ad verification, social media. If your use case maps more directly to one provider's declared focus, that provider has likely optimized its infrastructure and support documentation for your workflow.