StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. API Tools
  4. Service Discovery
  5. Eureka vs Zookeeper

Eureka vs Zookeeper

OverviewComparisonAlternatives

Overview

Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43
Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K

Eureka vs Zookeeper: What are the differences?

Introduction:

Eureka and Zookeeper are both popular open-source tools used for service discovery and coordination in distributed systems. While they serve similar purposes, there are key differences between the two.

  1. Architecture: Eureka is based on a client-server architecture, where there is a centralized server that keeps track of service instances, while the clients register with the server. On the other hand, Zookeeper follows a distributed architecture where multiple servers form a clustered ensemble, providing high availability.

  2. Data Consistency: Eureka prioritizes availability over consistency. It uses an eventual consistency model, where there might be some delay in propagating updates across all instances. In contrast, Zookeeper emphasizes consistency and uses a strong consistency model, ensuring that all clients see the same view of the data at any given time.

  3. Service Monitoring: Eureka provides built-in health monitoring of services, regularly checking if they are up or down. It automatically handles instances that are not responsive or healthy. In Zookeeper, monitoring of services needs to be implemented separately using custom solutions.

  4. Service Discovery Mechanism: Eureka uses a peer-to-peer replication mechanism for service discovery. Clients periodically fetch the registry information from the Eureka server and cache it locally. Zookeeper, on the other hand, maintains a hierarchical namespace called Znodes, which clients can access to discover and coordinate services.

  5. Availability and Scalability: Eureka is designed to be highly available and scales horizontally. It provides self-preservation mechanisms that prevent cascading failures and allow the system to continue working even if some instances fail. Zookeeper ensures high availability by replicating data across the ensemble, and it can handle a large number of concurrent clients.

  6. Integration with Other Technologies: Eureka is particularly well-suited for integration with Spring Cloud ecosystem, providing seamless integration with Spring Boot applications. Zookeeper, being a general-purpose coordination service, can be integrated with various platforms and frameworks, making it more versatile for different use cases.

In summary, Eureka and Zookeeper differ in their architecture, data consistency models, service monitoring approaches, service discovery mechanisms, availability and scalability features, as well as integration capabilities with other technologies.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Zookeeper
Zookeeper
Eureka
Eureka

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
12.7K
GitHub Forks
-
GitHub Forks
3.8K
Stacks
889
Stacks
291
Followers
1.0K
Followers
779
Votes
43
Votes
70
Pros & Cons
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Java
  • 8
    Kafka support
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
Pros
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Monitoring
  • 8
    Health checking
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Integrations
No integrations available
Amazon EC2
Amazon EC2

What are some alternatives to Zookeeper, Eureka?

Consul

Consul

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

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.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana