Ehcache vs etcd

Overview

etcd

Stacks308

Followers412

Votes24

Ehcache

Stacks616

Followers160

Votes4

GitHub Stars2.1K

Forks585

Ehcache vs etcd: What are the differences?

Ehcache and etcd are both popular tools used for caching and data storage in the field of software development. However, they differ in several key aspects.

Data Storage: The fundamental difference between Ehcache and etcd lies in their primary purpose. Ehcache is primarily used as an in-memory cache for Java applications, offering fast access to frequently accessed data. On the other hand, etcd is a distributed key-value store designed for shared configuration and service discovery.
Consistency Model: Another significant difference is the consistency model employed by Ehcache and etcd. Ehcache follows a strong consistency model, ensuring that updates are immediately visible to all nodes. In contrast, etcd employs a distributed consensus algorithm, providing eventual consistency to handle network partitions and latency.
Scaling Capabilities: When it comes to scaling, Ehcache is typically limited to scaling vertically, where additional hardware resources are added to a single node. In contrast, etcd is designed for horizontal scaling, allowing data to be distributed across multiple nodes in a cluster. This enables etcd to handle larger workloads more effectively.
Fault Tolerance: In terms of fault tolerance, etcd has built-in support for data replication and automatic data repair to ensure high availability. On the other hand, Ehcache relies on the underlying infrastructure for fault tolerance, making it more reliant on the reliability of the hardware and network.
API Support: Ehcache provides a robust Java API for integration with Java applications, making it ideal for Java developers. In comparison, etcd offers a more versatile HTTP API that can be used with different programming languages, providing greater flexibility for developers working in various environments.

In Summary, Ehcache is focused on in-memory caching for Java applications with strong consistency, while etcd is a distributed key-value store designed for shared configuration and service discovery with eventual consistency and horizontal scaling capabilities.

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CLI (Node.js)

Manual

Detailed Comparison

etcd	Ehcache
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.	Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.
Statistics
GitHub Stars -	GitHub Stars 2.1K
GitHub Forks -	GitHub Forks 585
Stacks 308	Stacks 616
Followers 412	Followers 160
Votes 24	Votes 4
Pros & Cons
Pros 11 Service discovery 6 Fault tolerant key value store 2 Bundled with coreos 2 Secure 1 Privilege Access Management	Pros 1 Easy setup 1 Simpler to run in testing environment 1 Container doesn't have to be running for local tests 1 Way Faster than Redis and Elasticache Redis

What are some alternatives to etcd, Ehcache?

Consul

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

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.

Zookeeper

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.

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 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

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.

GraphQL Cache

A custom middleware for graphql-ruby that handles key construction and cache reads/writes transparently.

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

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

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.

Related Comparisons

Ehcache vs etcd: What are the differences?

Ehcache and etcd are both popular tools used for caching and data storage in the field of software development. However, they differ in several key aspects.

Data Storage: The fundamental difference between Ehcache and etcd lies in their primary purpose. Ehcache is primarily used as an in-memory cache for Java applications, offering fast access to frequently accessed data. On the other hand, etcd is a distributed key-value store designed for shared configuration and service discovery.
Consistency Model: Another significant difference is the consistency model employed by Ehcache and etcd. Ehcache follows a strong consistency model, ensuring that updates are immediately visible to all nodes. In contrast, etcd employs a distributed consensus algorithm, providing eventual consistency to handle network partitions and latency.
Scaling Capabilities: When it comes to scaling, Ehcache is typically limited to scaling vertically, where additional hardware resources are added to a single node. In contrast, etcd is designed for horizontal scaling, allowing data to be distributed across multiple nodes in a cluster. This enables etcd to handle larger workloads more effectively.
Fault Tolerance: In terms of fault tolerance, etcd has built-in support for data replication and automatic data repair to ensure high availability. On the other hand, Ehcache relies on the underlying infrastructure for fault tolerance, making it more reliant on the reliability of the hardware and network.
API Support: Ehcache provides a robust Java API for integration with Java applications, making it ideal for Java developers. In comparison, etcd offers a more versatile HTTP API that can be used with different programming languages, providing greater flexibility for developers working in various environments.

Ehcache vs etcd

Overview