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  1. Stackups
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  3. Caching
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  5. Squid vs Zookeeper

Squid vs Zookeeper

OverviewComparisonAlternatives

Overview

Squid
Squid
Stacks101
Followers205
Votes17
GitHub Stars2.7K
Forks594
Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43

Squid vs Zookeeper: What are the differences?

Key Differences between Squid and Zookeeper

Squid and Zookeeper are both popular software tools used in various applications, but they have some key differences. Here are the main differences between Squid and Zookeeper:

  1. Function and Purpose: Squid is primarily a caching proxy server that improves web performance by caching frequently accessed content. It acts as an intermediary between the client and the server, serving cached content instead of forwarding the request to the origin server. On the other hand, Zookeeper is a distributed coordination service that provides a centralized system for maintaining configuration information, naming, synchronization, and group services in distributed applications.

  2. Consistency Model: Squid ensures data consistency through cache invalidation mechanisms like time-based expiration or explicit purging. It focuses on maintaining consistency within the cache. In contrast, Zookeeper guarantees strong consistency in a distributed environment using an atomic broadcast protocol called ZAB. It ensures that all updates are applied in the same order to all replicas, achieving linearizability and consistency for the client.

  3. Concurrency Control: Squid adopts a simple locking mechanism for concurrent requests. It uses a single-threaded event-driven model, serving one request at a time to avoid data corruption. Zookeeper, being a distributed system, uses a more complex approach called "ZooKeeper Atomic Broadcast" to achieve consensus and handle concurrent operations.

  4. Data Model: Squid works with HTTP data and objects, storing cached responses based on URLs or content types. It primarily deals with caching and proxying HTTP traffic to enhance performance. In contrast, Zookeeper provides a hierarchical namespace similar to a file system, where applications can create, read, and update znodes (zookeeper nodes) to store small amounts of data and coordinate processes.

  5. Consensus Algorithm: Squid does not employ any consensus algorithm since its main focus is on caching and proxying. It does not require coordination among multiple cache servers, as each server can operate independently. Zookeeper, on the other hand, relies on the ZAB protocol, which is a modified version of the Paxos consensus algorithm, to ensure consensus among distributed nodes. It allows for building highly reliable and fault-tolerant distributed applications.

  6. Use Cases: Squid is commonly used as a caching proxy server in web infrastructure to improve performance and reduce the load on web servers. It is suitable for scenarios where content caching and proxying are required. Zookeeper, on the other hand, finds its use in distributed systems, such as Apache Kafka, Apache Hadoop, and Apache Storm. It provides coordination services necessary for reliable and fault-tolerant operation of distributed applications.

In summary, Squid is primarily a caching proxy server focused on improving web performance, while Zookeeper is a distributed coordination service that provides centralized configuration management and synchronization for distributed applications. Squid works with HTTP data, while Zookeeper provides a hierarchical namespace for storing small amounts of data and coordinating processes. Squid does not employ a consensus algorithm, whereas Zookeeper relies on the ZAB protocol for achieving consensus among distributed nodes.

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Detailed Comparison

Squid
Squid
Zookeeper
Zookeeper

Squid reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL.

A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

Statistics
GitHub Stars
2.7K
GitHub Stars
-
GitHub Forks
594
GitHub Forks
-
Stacks
101
Stacks
889
Followers
205
Followers
1.0K
Votes
17
Votes
43
Pros & Cons
Pros
  • 4
    Easy to config
  • 2
    Cluster
  • 2
    Very Fast
  • 2
    Web application accelerator
  • 1
    High-performance
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Java
  • 8
    Kafka support
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC

What are some alternatives to Squid, Zookeeper?

Varnish

Varnish

Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.

Consul

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

Eureka

Eureka

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

Section

Section

Edge Compute Platform gives Dev and Ops engineers the access and control they need to run compute workloads on a distributed edge.

etcd

etcd

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

Nuster

Nuster

nuster is a high performance HTTP proxy cache server and RESTful NoSQL cache server based on HAProxy.

Keepalived

Keepalived

The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures.

SkyDNS

SkyDNS

SkyDNS is a distributed service for announcement and discovery of services. It leverages Raft for high-availability and consensus, and utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights (more info here: http://blog.gopheracademy.com/skydns).

SmartStack

SmartStack

Scaling a web infrastructure requires services, and building a service-oriented infrastructure is hard. Make it EASY, with SmartStack’s automated, transparent service discovery and registration: cruise control for your distributed infrastructure.

Apache Traffic Server

Apache Traffic Server

It is a fast, scalable and extensible HTTP/1.1 and HTTP/2.0 compliant caching proxy server.Improve your response time, while reducing server load and bandwidth needs by caching and reusing frequently-requested web pages, images, and web ser

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