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  1. Stackups
  2. Utilities
  3. API Tools
  4. Service Discovery
  5. Consul vs Zookeeper vs etcd

Consul vs Zookeeper vs etcd

OverviewComparisonAlternatives

Overview

Consul
Consul
Stacks1.2K
Followers1.5K
Votes213
GitHub Stars29.5K
Forks4.5K
Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43
etcd
etcd
Stacks308
Followers412
Votes24

Consul vs Zookeeper vs etcd: What are the differences?

Consul, Zookeeper, and etcd are all distributed key-value stores that are designed for cloud-native applications. They provide a reliable and scalable way of managing shared configurations, service discovery, and distributed coordination in a distributed system. Let's explore the key differences between them.

  1. Consistency Model: Consul employs a strong consistency model ensuring that all nodes in the cluster have the same data simultaneously, providing reliable and predictable behavior for distributed systems. In contrast, Zookeeper utilizes a strict ordering protocol, guaranteeing linearizable writes and reads, thus enforcing strict consistency for critical operations. etcd mirrors Consul's approach with a strong consistency model, ensuring that data remains consistent across the distributed key-value store, making it suitable for scenarios demanding high consistency guarantees.

  2. API and Language Support: Consul's RESTful HTTP API facilitates easy integration with various programming languages, allowing developers to interact with the service seamlessly. Zookeeper, on the other hand, relies on a proprietary API and client libraries primarily aimed at Java developers, potentially limiting its adoption in polyglot environments. etcd bridges the gap by offering a gRPC API along with client libraries for multiple programming languages, including Go, Python, and JavaScript, ensuring broader language support and ease of integration across diverse ecosystems.

  3. Data Model: Consul and etcd embrace a key-value store model, enabling the association of arbitrary data with keys, offering flexibility and simplicity in data representation. In contrast, Zookeeper adopts a hierarchical file system-like namespace, enabling the creation of a structured data organization with nodes capable of having children nodes, making it more suitable for certain use cases requiring hierarchical data management.

  4. Use Cases: Consul excels in scenarios like service discovery, configuration management, and distributed key-value storage, making it an integral part of modern microservices architectures. Zookeeper finds its niche in coordination and synchronization tasks within distributed systems, such as leader election and distributed locks, providing essential building blocks for complex distributed applications. etcd shines in use cases involving distributed configuration storage and coordination between distributed systems, contributing to the seamless operation of Kubernetes clusters and cloud-native environments.

  5. Deployment and Scalability: Consul and etcd are typically deployed as standalone services or within containerized environments, offering horizontal scalability to accommodate growing workloads and ensuring fault tolerance. In contrast, Zookeeper is designed for deployment in a cluster mode, with an ensemble of servers forming a quorum, providing fault tolerance and high availability by leveraging distributed consensus algorithms.

  6. Community and Ecosystem: Consul boasts a growing community and an active ecosystem of integrations and plugins, particularly in the cloud-native and DevOps tooling space, fostering innovation and collaboration. Zookeeper enjoys a mature ecosystem with extensive documentation and a large user base, especially prominent in the Hadoop and distributed systems communities, ensuring robust support and stability. etcd benefits from its status as a core component of Kubernetes and boasts a thriving ecosystem, with contributions from both the open-source community and companies utilizing it in production environments, ensuring continuous improvement and adoption across diverse use cases.

In summary, Consul focuses on service discovery and network segmentation, Zookeeper excels in distributed coordination and synchronization, while etcd provides simplicity and reliability as a building block for distributed systems.

Why do developers choose Consul vs Zookeeper vs etcd?

  • Consul users call it a great service discovery infrastructure with high availability, health checking, gossip clustering, and Docker integration.
  • Zookeeper fans call it high performance and appreciate its Kafka and Spring Boot support.
  • etcd - etcd fans appreciate its fault tolerance as a key value store and that it’s bundled with Coreo.

What are some alternatives to Consul, Zookeeper, and etcd?

  • Eureke - AWS Service registry for resilient mid-tier load balancing and failover
  • Serf - Service orchestration and management tool
  • SmartStack - Automated service discovery and registration framework

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Detailed Comparison

Consul
Consul
Zookeeper
Zookeeper
etcd
etcd

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

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.

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.

Service Discovery - Consul makes it simple for services to register themselves and to discover other services via a DNS or HTTP interface. External services such as SaaS providers can be registered as well.;Health Checking - Health Checking enables Consul to quickly alert operators about any issues in a cluster. The integration with service discovery prevents routing traffic to unhealthy hosts and enables service level circuit breakers.;Key/Value Storage - A flexible key/value store enables storing dynamic configuration, feature flagging, coordination, leader election and more. The simple HTTP API makes it easy to use anywhere.;Multi-Datacenter - Consul is built to be datacenter aware, and can support any number of regions without complex configuration.
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Statistics
GitHub Stars
29.5K
GitHub Stars
-
GitHub Stars
-
GitHub Forks
4.5K
GitHub Forks
-
GitHub Forks
-
Stacks
1.2K
Stacks
889
Stacks
308
Followers
1.5K
Followers
1.0K
Followers
412
Votes
213
Votes
43
Votes
24
Pros & Cons
Pros
  • 61
    Great service discovery infrastructure
  • 35
    Health checking
  • 29
    Distributed key-value store
  • 26
    Monitoring
  • 23
    High-availability
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Kafka support
  • 8
    Java
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
Pros
  • 11
    Service discovery
  • 6
    Fault tolerant key value store
  • 2
    Secure
  • 2
    Bundled with coreos
  • 1
    Consol integration

What are some alternatives to Consul, Zookeeper, etcd?

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.

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.

Serf

Serf

Serf is a service discovery and orchestration tool that is decentralized, highly available, and fault tolerant. Serf runs on every major platform: Linux, Mac OS X, and Windows. It is extremely lightweight: it uses 5 to 10 MB of resident memory and primarily communicates using infrequent UDP messages.

Nacos

Nacos

It is an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

Libraries.io

Libraries.io

It is an open source web service that lists software development project dependencies and alerts developers to new versions of the software libraries they are using.

ODD Platform

ODD Platform

It is a next-generation data discovery and observability tool for enterprises and startups that help to efficiently democratize data, powers collaboration of data science and data engineering teams, significantly reduces time to data discovery, cuts on data downtime and offers a modern, easy-to-use environment with quick time-to-value. It makes all your data entities reliable, observable, and easily discoverable.

Baker Street

Baker Street

Baker Street is an HAProxy-based client side load balancer that simplifies scaling, testing, and upgrading microservices.

zetcd

zetcd

A ZooKeeper "personality" for etcd. Point a ZooKeeper client at zetcd to dispatch the operations on an etcd cluster. Protocol encoding and decoding heavily based on go-zookeeper.

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