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  1. Stackups
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  5. CockroachDB vs YugabyteDB

CockroachDB vs YugabyteDB

OverviewComparisonAlternatives

Overview

CockroachDB
CockroachDB
Stacks216
Followers341
Votes0
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

CockroachDB vs YugabyteDB: What are the differences?

Introduction

CockroachDB and YugabyteDB are both distributed SQL databases that aim to provide scalable and highly available data storage solutions. While they share common objectives, there are key differences that set them apart.

  1. SQL Compatibility: CockroachDB is known for its high degree of SQL compatibility, supporting PostgreSQL wire protocol and a majority of MySQL syntax. On the other hand, YugabyteDB focuses on PostgreSQL compatibility, supporting the PostgreSQL wire protocol and most of its dialect, including stored procedures, triggers, and user-defined types.

  2. Architecture: CockroachDB follows a highly distributed architecture inspired by Google's Spanner, where data is automatically sharded and distributed across multiple nodes. It relies on a transactional consensus algorithm to ensure consistency. In contrast, YugabyteDB utilizes a distributed architecture based on Google's Bigtable and HBase, where data is partitioned and distributed via tablets. It employs Raft or the two-phase commit protocol for data consistency.

  3. Data Distribution: CockroachDB uses range partitioning to distribute data evenly across nodes, allowing automatic rebalancing to handle node failures and adding new nodes seamlessly. YugabyteDB, however, employs hash partitioning to evenly distribute data across nodes. This approach allows efficient parallelism and avoids hotspots when dealing with specific key ranges.

  4. Multi-Cloud Deployment: CockroachDB focuses heavily on multi-cloud support, allowing data to be distributed across multiple cloud providers or regions seamlessly. It provides built-in synchronization and conflict resolution mechanisms for data consistency. In contrast, while YugabyteDB also supports multi-cloud deployments, its primary emphasis is on self-driving and the ability to span across multiple data centers seamlessly.

  5. Consistency Models: CockroachDB provides strong consistency guarantees through its implementation of linearizable and serializable isolation levels. It allows transaction retry in case of conflicts and performs automatic resolution. YugabyteDB, on the other hand, provides tunable consistency models, allowing developers to choose between strong consistency, read-after-write, or last-write-wins semantics for specific operations.

  6. Programming Languages: CockroachDB primarily supports SQL for queries and interactions, making it preferable for developers already acquainted with SQL-based databases. In contrast, YugabyteDB offers support for multiple programming languages, including SQL, NoSQL APIs (like Cassandra Query Language), and native client libraries, enabling developers to choose their preferred programming language and interact with the database in a more diverse manner.

In summary, CockroachDB and YugabyteDB differ substantially in SQL compatibility, architecture, data distribution methods, multi-cloud deployment focus, consistency models, and supported programming languages.

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Detailed Comparison

CockroachDB
CockroachDB
YugabyteDB
YugabyteDB

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.

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

sql; high availability; fast; acid;
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
-
GitHub Stars
9.9K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
216
Stacks
50
Followers
341
Followers
114
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
No integrations available
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to CockroachDB, YugabyteDB?

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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