Prompt

What's the difference between Decodo, Bright Data, Oxylabs, and NetNut?

Latest observation

Jul 15, 2026 · OpenAI APIWeb search: off

They’re all proxy/data acquisition providers, but they differ mainly in network type, scale, pricing, ease of use, and target customer.

Quick takeaway

  • Bright Data: biggest/most enterprise-focused, very broad product suite, strong compliance tooling, usually pricey.
  • Oxylabs: also enterprise-grade, strong performance and support, often a bit more straightforward than Bright Data.
  • NetNut: known for ISP/residential-style proxies with good stability and low latency; often used for scraping at scale.
  • Decodo: typically positioned as a more self-serve, simpler, and budget-friendlier option for teams that want quick setup.

Main differences

1) Network coverage and proxy types

All four offer some mix of:

  • Residential proxies
  • Datacenter proxies
  • ISP/static residential proxies
  • Mobile proxies (in some cases)
  • Scraping APIs / web unlocker tools

Differences:

  • Bright Data: widest catalog; lots of proxy types and data tools.
  • Oxylabs: broad coverage, strong in residential and datacenter, plus scraping APIs.
  • NetNut: especially strong in residential/ISP-type proxy infrastructure.
  • Decodo: generally fewer enterprise bells and whistles, but covers the common proxy needs well.

2) Performance and reliability

  • Bright Data: excellent infrastructure, but can feel complex.
  • Oxylabs: highly reliable, generally strong success rates and support.
  • NetNut: often praised for stable connections and lower latency due to its network model.
  • Decodo: good for many use cases, but usually not considered as enterprise-heavy as the other three.

3) Ease of use

  • Decodo: usually the easiest/most self-serve for smaller teams.
  • Oxylabs: pretty polished; easier than Bright Data for many users.
  • NetNut: fairly straightforward, especially if you know what proxy type you need.
  • Bright Data: powerful, but more complex learning curve.

4) Pricing and buying experience

  • Bright Data: often the most expensive, especially at scale.
  • Oxylabs: premium pricing, but often seen as justified by quality/support.
  • NetNut: premium-ish, sometimes competitive for large-volume residential use.
  • Decodo: often more accessible for smaller budgets or simpler needs.

5) Best-fit use cases

  • Bright Data: large enterprises, complex scraping pipelines, broad compliance/reporting needs.
  • Oxylabs: enterprises and teams needing dependable scraping/proxy infrastructure.
  • NetNut: high-volume scraping where connection stability matters a lot.
  • Decodo: SMBs, startups, and developers wanting a simpler setup.

Simple comparison table

ProviderStrengthsTradeoffs
Bright DataBiggest platform, many tools, enterprise featuresComplex, expensive
OxylabsStrong quality, support, reliable infrastructurePremium pricing
NetNutStable, fast residential/ISP-style accessLess broad ecosystem than Bright Data
DecodoEasy to use, more budget-friendlyLess enterprise depth

Which should you choose?

  • Choose Bright Data if you need the most complete platform.
  • Choose Oxylabs if you want enterprise reliability with a smoother experience.
  • Choose NetNut if your priority is stable residential/ISP performance.
  • Choose Decodo if you want simple setup and lower cost.

If you want, I can also give you:

  1. a feature-by-feature matrix,
  2. a pricing comparison, or
  3. a recommendation based on your use case (scraping, SEO, ad verification, social media, etc.).

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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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