Bright Data’s Datacenter IPs – Faster Than Ever!

We now provide our customers with the fastest proxies on the market – allowing them to get the job done for many use cases
fastest data center IP proxy network
Aviv Besinksky
Aviv Besinsky | Product Manager

Let’s start with the bottom line of this article – we’ve improved our network architecture and improved speeds by 25%. Our Datacenter IPs are not only faster than ever but also the fastest on the market! How did we do it? Keep reading to find out.

fastest data center IPs in the proxy market

What are fast proxies?

“Do you have any fast proxies?” is a common question we get here at Bright Data. For many proxy users with various use cases, speed is the key to getting the job done. But what are ‘fast proxies’ really?

A ‘proxy’ or an IP address, is well, an address. To be precise, an Internet Protocol address (IP address) is a numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication. An IP address serves two main functions: to be the host aka the network interface identification and location addressing.

Speed isn’t a quality that can be used to describe an address, that would be like asking if I live in a ‘fast house’, while what really determines the speed of my commute is other variables like the speed of my car. However, when it comes to the networking world, what determines the speed of an IP are a few things:

  • Length of the journey – when making a request to a destination site, your request travels between different servers until reaching the server that the site is hosted on, and then the wanted information is returned back to you. The longer the distance between you and the target site, the longer the request will take.
  • Architecture – when making a request through a proxy, it means you are adding a few more network segments to the journey of that request and this is referred to as a hop. Instead of going through the usual route, now you need to go through at least 1 more hop, the server hosting your IPs. In most cases, there will be more than one extra hop, but this depends on the architecture of your service provider. The fewer the number of hops the faster your requests.
  • Bandwidth (BW) – the Data center IPs you use are hosted on a server and each server is configured with a certain BW capacity. A server with a 1 gigabyte per second connection, for example, can run more traffic through it in a given moment than a server with a 100 megabyte per second capacity. This means that if you and many other customers are using IPs hosted on the same server, lower bandwidth could mean that a user’s requests will get ‘stuck’ in a bottleneck slowing down the proxy speeds. Higher bandwidth, however, would save time and enable requests to perform faster.
  • Central Processing Unit (CPU) usage – different servers have different volumes of CPU resources, a CPU can also be upgraded or downgraded by the user. A server with low CPU processes fewer requests than a server with a higher CPU.
rocket to imply speed

Improvements we’ve made

  • No sidetracks in the requests journey – we reduce the length of the requests journey between you and the target site by ensuring the requests run through the same geolocation
  • No redundant hops – our architecture was designed to keep the number of hops your request takes as minimal as possible
  • No bottlenecks – requests are distributed across our many load-bearing servers to prevent overloading any specific server
  • No compromising on bandwidth amounts and CPU resources – as the largest proxy network in the world, our network architecture was built to handle volumes and is continuously upgraded to fit the needs of our customers

During the past few weeks, we’ve put our main focus on improving our architecture and improved our network speeds by 25%, so that we can provide our customers with the fastest proxies on the market.

We are always improving and now when you ask, do we have any fast proxies? The answer will always be, Yes!

Aviv Besinksky
Aviv Besinsky | Product Manager

Aviv is a lead product manager at Bright Data. He has been a driving force in taking data collection technology to the next level - developing technological solutions in the realms of data unblocking, static proxy networks, and more. Sharing his data crawling know-how is one of his many passions.

You might also be interested in

What is data aggregation

Data Aggregation – Definition, Use Cases, and Challenges

This blog post will teach you everything you need to know about data aggregation. Here, you will see what data aggregation is, where it is used, what benefits it can bring, and what obstacles it involves.
What is a data parser featured image

What Is Data Parsing? Definition, Benefits, and Challenges

In this article, you will learn everything you need to know about data parsing. In detail, you will learn what data parsing is, why it is so important, and what is the best way to approach it.
What is a web crawler featured image

What is a Web Crawler?

Web crawlers are a critical part of the infrastructure of the Internet. In this article, we will discuss: Web Crawler Definition A web crawler is a software robot that scans the internet and downloads the data it finds. Most web crawlers are operated by search engines like Google, Bing, Baidu, and DuckDuckGo. Search engines apply […]

A Hands-On Guide to Web Scraping in R

In this tutorial, we’ll go through all the steps involved in web scraping in R with rvest with the goal of extracting product reviews from one publicly accessible URL from Amazon’s website.

The Ultimate Web Scraping With C# Guide

In this tutorial, you will learn how to build a web scraper in C#. In detail, you will see how to perform an HTTP request to download the web page you want to scrape, select HTML elements from its DOM tree, and extract data from them.
Javascript and node.js web scraping guide image

Web Scraping With JavaScript and Node.JS

We will cover why frontend JavaScript isn’t the best option for web scraping and will teach you how to build a Node.js scraper from scratch.
Web scraping with JSoup

Web Scraping in Java With Jsoup: A Step-By-Step Guide

Learn to perform web scraping with Jsoup in Java to automatically extract all data from an entire website.
Static vs. Rotating Proxies

Static vs Rotating Proxies: Detailed Comparison

Proxies play an important role in enabling businesses to conduct critical web research.