Bright Data vs LimeProxies
We put Bright Data and LimeProxies side by side on price, pool depth, coverage and reliability. We benchmark each option on the metrics that decide success: anonymity, uptime, geo-coverage, and cost per GB.
Bright Data (Residential & ISP, $8.40/GB) and LimeProxies (Datacenter (Dedicated), $3/IP/mo) both target serious proxy users, but they win on different axes. LimeProxies is cheaper ($3/IP/mo vs $8.40/GB) — roughly 3× the gap.
Bright Data operates the world's largest disclosed residential proxy network. Their compliance infrastructure makes them the default for regulated industries. At $8.40/GB they are 12x more expensive than Cheapest-Proxies.
LimeProxies focuses on high-performance dedicated datacenter proxies. Speed is their differentiator but datacenter IPs are increasingly fingerprinted by sophisticated anti-bot systems.
Bright Data vs LimeProxies: the numbers
Spec-by-spec
| Price | $8.40/GB vs $3/IP/mo |
|---|---|
| Pool size | 72M+ IPs vs 500K+ IPs |
| Countries | 195 vs 40 |
| Uptime | 99.8% vs 99.7% |
| Speed | Fast vs Ultra-Fast |
| Support | Business Hours + Enterprise vs 24/7 Chat |
| Anonymity | High vs Low |
| Rating | 4.7★ vs 4.1★ |
Bright Data wins on
- Largest disclosed residential pool (72M+ IPs)
- Strict ethical sourcing and compliance
- Excellent developer tooling and APIs
- Dedicated enterprise support
LimeProxies wins on
- High-speed dedicated IPs
- Very high uptime
- Good for SEO tools
- Competitive datacenter pricing
Verdict
Our pick: Bright Data. It edges ahead on our rating (4.7★ vs 4.1★). That said, choose LimeProxies if you specifically need high-speed dedicated ips.
Our take: match the proxy type to the target, keep sessions sticky where you need continuity, and never overpay for capacity you won't use.
Frequently asked questions
Is Bright Data or LimeProxies cheaper?
Which is better, Bright Data or LimeProxies?
What pool sizes do they offer?
How much should this cost?
For most buyers, the winning move is to start on the lowest verified price with a large pool, then scale once success rates hold.