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  1. Stackups
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  4. Databases
  5. CockroachDB vs FoundationDB

CockroachDB vs FoundationDB

OverviewComparisonAlternatives

Overview

FoundationDB
FoundationDB
Stacks34
Followers79
Votes21
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs FoundationDB: What are the differences?

Introduction

CockroachDB and FoundationDB are both distributed database systems that provide high availability, fault tolerance, and scalability. However, they have key differences in terms of their architecture, data model, consistency guarantees, and deployment options.

  1. Architecture: CockroachDB is based on a distributed key-value store model, where data is partitioned into key ranges and distributed across multiple nodes. It uses a consensus algorithm called Raft to ensure strong consistency. On the other hand, FoundationDB uses a distributed ordered key-value store model, where data is organized and accessed using a hierarchical key structure. It utilizes a distributed transactional layer called the FoundationDB Record Layer for strong consistency and isolation.

  2. Data Model: CockroachDB adopts a SQL-like data model with support for structured tables, rows, and columns. It provides features like secondary indexes, full-text search, and distributed SQL queries. In contrast, FoundationDB has a key-value data model, where data is stored and retrieved based on keys. It does not provide built-in support for SQL queries and schema management, requiring developers to handle data manipulation and retrieval at the application level.

  3. Consistency Guarantees: CockroachDB offers strong consistency by default, ensuring that all replicas of a data range are updated before acknowledging a write. It supports serializable and snapshot isolation levels for transactions. FoundationDB also provides strong consistency guarantees through its transactional layer, allowing ACID transactions over multiple key-value operations. However, it can be configured to provide different consistency models, such as causal consistency and eventual consistency.

  4. Deployment Options: CockroachDB can be deployed in multiple ways, including as a single-node, local development cluster, or a fully distributed multi-node cluster spanning multiple data centers. It supports automatic data replication, rebalancing, and fault tolerance. FoundationDB is designed to be deployed as a distributed cluster on multiple machines, providing fault tolerance and automatic data sharding. It can be integrated with existing applications using the FoundationDB client libraries.

  5. Scaling: CockroachDB allows for linear scaling by adding more nodes to the cluster, automatically distributing data and load across them. It supports automatic range splitting and rebalancing to maintain an even workload distribution. FoundationDB also supports scaling out by adding more machines to the cluster. It uses a range partitioning scheme to distribute keys across nodes, ensuring efficient data distribution and load balancing.

  6. Community and Ecosystem: CockroachDB has a thriving open-source community with a strong focus on enterprise adoption. It offers a wide range of features and integrations, including support for popular SQL interfaces, ORMs, and cloud platforms. FoundationDB, owned by Apple, has a smaller community but is widely used for specific use cases, such as distributed storage for transactional workloads. It provides integration with popular programming languages and frameworks through its client libraries.

In Summary, CockroachDB and FoundationDB differ in their architecture, data model, consistency guarantees, deployment options, scaling capabilities, and community support. These differences make them suitable for different use cases and deployment scenarios.

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Detailed Comparison

FoundationDB
FoundationDB
CockroachDB
CockroachDB

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.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

Multiple data models;Full, multi-key ACID transactions;No locking;Bindings available in Python, Ruby, Node, PHP, Java, Go, and C
sql; high availability; fast; acid;
Statistics
Stacks
34
Stacks
216
Followers
79
Followers
341
Votes
21
Votes
0
Pros & Cons
Pros
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Great Foundation
  • 3
    Key-Value Store
No community feedback yet

What are some alternatives to FoundationDB, CockroachDB?

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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