Redis vs etcd

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

etcd

Stacks308

Followers412

Votes24

Redis vs etcd: What are the differences?

Redis and etcd are two popular distributed key-value stores. Let's explore the key differences between the two:

Data Model: Redis follows a simple key-value model where the value can be a wide range of data structures like strings, lists, sets, etc. On the other hand, etcd provides a distributed key-value model with very limited data structures, primarily focusing on managing configurations and coordinating distributed systems.
Consistency Guarantees: Redis provides eventual consistency, meaning that updates to the data are not immediately reflected across all instances but eventually propagate. In contrast, etcd offers strong consistency, ensuring that all nodes see the same set of data at any given time.
Scaling: Redis supports horizontal scaling via replication and sharding. It allows for the distribution of data across multiple nodes, improving performance and capacity. Etcd also supports replication and clustering but lacks built-in sharding capability, limiting its scalability compared to Redis.
Data Persistence: Redis offers different persistence options, including both snapshotting and append-only file (AOF) persistence. It allows data to survive restarts or power failures. Etcd, on the other hand, stores data primarily in memory, with an option for periodic snapshots. It is not designed for long-term data persistence and focuses more on real-time coordination.
Cluster Management: Redis does not provide built-in cluster management. It relies on external tools like Redis Cluster or Redis Sentinel for managing distributed deployments. Etcd, being designed as a distributed systems coordination tool, provides built-in cluster management with fault tolerance and leader election capabilities.
APIs and Language Support: Redis offers a rich set of APIs and supports multiple programming languages, making it easy to integrate into various applications. Etcd primarily exposes a simple HTTP(S) API and provides official clients for popular languages like Go, Python, and Java.

In summary, Redis focuses on providing a versatile key-value store and etcd specializes in coordinating distributed systems and managing configurations.

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)

Manual

Detailed Comparison

Redis	etcd
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.	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.
Statistics
GitHub Stars 42	GitHub Stars -
GitHub Forks 6	GitHub Forks -
Stacks 61.9K	Stacks 308
Followers 46.5K	Followers 412
Votes 3.9K	Votes 24
Pros & Cons
Pros 888 Performance 542 Super fast 514 Ease of use 444 In-memory cache 324 Advanced key-value cache Cons 15 Cannot query objects directly 3 No secondary indexes for non-numeric data types 1 No WAL	Pros 11 Service discovery 6 Fault tolerant key value store 2 Bundled with coreos 2 Secure 1 Privilege Access Management

What are some alternatives to Redis, etcd?

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.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

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.

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Related Comparisons

Bitbucket vs GitHub vs GitLab

Bootstrap vs Materialize

Django vs Laravel vs Node.js

Bootstrap vs Foundation vs Material UI

Node.js vs Spring-Boot

Redis vs etcd: What are the differences?

Redis and etcd are two popular distributed key-value stores. Let's explore the key differences between the two:

Data Model: Redis follows a simple key-value model where the value can be a wide range of data structures like strings, lists, sets, etc. On the other hand, etcd provides a distributed key-value model with very limited data structures, primarily focusing on managing configurations and coordinating distributed systems.
Consistency Guarantees: Redis provides eventual consistency, meaning that updates to the data are not immediately reflected across all instances but eventually propagate. In contrast, etcd offers strong consistency, ensuring that all nodes see the same set of data at any given time.
Scaling: Redis supports horizontal scaling via replication and sharding. It allows for the distribution of data across multiple nodes, improving performance and capacity. Etcd also supports replication and clustering but lacks built-in sharding capability, limiting its scalability compared to Redis.
Data Persistence: Redis offers different persistence options, including both snapshotting and append-only file (AOF) persistence. It allows data to survive restarts or power failures. Etcd, on the other hand, stores data primarily in memory, with an option for periodic snapshots. It is not designed for long-term data persistence and focuses more on real-time coordination.
Cluster Management: Redis does not provide built-in cluster management. It relies on external tools like Redis Cluster or Redis Sentinel for managing distributed deployments. Etcd, being designed as a distributed systems coordination tool, provides built-in cluster management with fault tolerance and leader election capabilities.
APIs and Language Support: Redis offers a rich set of APIs and supports multiple programming languages, making it easy to integrate into various applications. Etcd primarily exposes a simple HTTP(S) API and provides official clients for popular languages like Go, Python, and Java.

In summary, Redis focuses on providing a versatile key-value store and etcd specializes in coordinating distributed systems and managing configurations.