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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. FoundationDB vs etcd

FoundationDB vs etcd

OverviewComparisonAlternatives

Overview

FoundationDB
FoundationDB
Stacks34
Followers79
Votes21
etcd
etcd
Stacks308
Followers412
Votes24

FoundationDB vs etcd: What are the differences?

Introduction

Welcome to this comparison between FoundationDB and etcd. Both FoundationDB and etcd are distributed key-value stores that provide high availability and fault tolerance. However, there are several key differences between these two systems that we will explore in this comparison.

1. Scalability and Performance: FoundationDB is designed to scale horizontally, allowing it to handle massive workloads and maintain low latency even under heavy loads. It achieves this through its distributed architecture and data partitioning techniques. On the other hand, etcd is primarily focused on providing a reliable distributed key-value store, and while it can handle a significant number of requests, it may not scale as effectively as FoundationDB for extremely demanding scenarios.

2. Consistency Models: FoundationDB offers a strong consistency model, ensuring that all replicas of data are always in sync. It uses distributed transactions and optimistic concurrency control to maintain consistency. In contrast, etcd provides a eventually consistent model, meaning that data can be temporarily inconsistent across different nodes but will eventually converge to a consistent state. This difference in consistency models addresses different use cases and trade-offs between performance and consistency guarantees.

3. API Compatibility: FoundationDB provides a SQL-like query language called Flow to interact with the database. Additionally, it supports a wide range of programming language bindings, making it flexible to integrate with various applications. Whereas etcd offers a simple key-value API and focuses on providing utility tools for service discovery, distributed locking, and configuration management. The choice between these two systems will depend on the specific requirements of your application and the interface you prefer to work with.

4. Fault Tolerance: FoundationDB is built to handle failures gracefully and provides automatic data partitioning and replication to ensure high availability. It can withstand node failures and network partitions without sacrificing data durability. Etcd also provides fault tolerance mechanisms, but its focus is primarily on maintaining consistency and availability rather than durability. It relies on distributed consensus protocols like Raft to achieve fault tolerance.

5. Community Support and Development: FoundationDB is developed and maintained by Apple, and it has a dedicated development team behind it. However, its community support is not as extensive or active as some other open-source projects. On the other hand, etcd is an open-source project under the Cloud Native Computing Foundation (CNCF), which means it benefits from a large and active community. This community support translates into frequent updates, bug fixes, and a broader range of libraries and tools built around etcd.

6. Storage Backends: FoundationDB provides a unified transactional storage layer that abstracts away the underlying storage implementation. It supports pluggable storage engines, allowing you to choose between different options like SSDs or cloud object stores. Etcd, on the other hand, relies on a simple key-value storage engine and does not support pluggable backends. This difference in storage flexibility can be important when considering different deployment scenarios and cost optimizations.

In Summary, FoundationDB and etcd have significant differences in terms of scalability, consistency models, API compatibility, fault tolerance, community support, and storage backends. The choice between these two systems will depend on the specific requirements and priorities of your project.

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Detailed Comparison

FoundationDB
FoundationDB
etcd
etcd

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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.

Multiple data models;Full, multi-key ACID transactions;No locking;Bindings available in Python, Ruby, Node, PHP, Java, Go, and C
-
Statistics
Stacks
34
Stacks
308
Followers
79
Followers
412
Votes
21
Votes
24
Pros & Cons
Pros
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Great Foundation
  • 3
    Key-Value Store
Pros
  • 11
    Service discovery
  • 6
    Fault tolerant key value store
  • 2
    Secure
  • 2
    Bundled with coreos
  • 1
    Open Source

What are some alternatives to FoundationDB, etcd?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Consul

Consul

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

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