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FoundationDB

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21
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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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Pros of etcd
Pros of FoundationDB
  • 11
    Service discovery
  • 6
    Fault tolerant key value store
  • 2
    Secure
  • 2
    Bundled with coreos
  • 1
    Consol integration
  • 1
    Privilege Access Management
  • 1
    Open Source
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Key-Value Store
  • 3
    Great Foundation
  • 1
    SQL Layer

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What is 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.

What is FoundationDB?

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.

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What companies use etcd?
What companies use FoundationDB?
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What tools integrate with etcd?
What tools integrate with FoundationDB?
    No integrations found

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    What are some alternatives to etcd and FoundationDB?
    Consul
    Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.
    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.
    Redis
    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.
    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.
    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.
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