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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. CockroachDB vs Galera Cluster

CockroachDB vs Galera Cluster

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs Galera Cluster: What are the differences?

Introduction

CockroachDB and Galera Cluster are two popular database management systems that offer high availability and scalability. While both solutions provide distributed architecture, there are key differences between them. This article highlights six differences that set CockroachDB and Galera Cluster apart.

  1. Transaction model: CockroachDB uses a distributed ACID (Atomicity, Consistency, Isolation, Durability) transaction model, ensuring that transactions are executed reliably across clusters. On the other hand, Galera Cluster employs a synchronous multi-master replication model, allowing each node to execute transactions independently and replicate them to other nodes.

  2. Consistency model: CockroachDB follows strict serializable consistency for transactions, making it suitable for applications that require strong data consistency. Galera Cluster, on the other hand, employs the optimistic concurrency control model, which allows multiple concurrent transactions, but may result in occasional conflicts that need to be resolved.

  3. Resiliency: CockroachDB is designed for resilience, offering automatic data replication and fault tolerance across multiple nodes. It can handle node failures without affecting the overall system. Galera Cluster, although resilient, requires manual intervention to handle node failures and maintain cluster consistency.

  4. Sharding: CockroachDB natively supports automatic data sharding, distributing data across multiple nodes for improved performance and scalability. Galera Cluster requires manual configuration and management of sharding techniques such as horizontal partitioning.

  5. Geo-distribution: CockroachDB excels in geo-distributed deployments, allowing data to be replicated across multiple regions with low latency. Galera Cluster is better suited for deployments within a single data center or close geographical proximity due to the need for synchronous replication.

  6. Operational complexity: CockroachDB simplifies operations with its built-in automated management and scaling features. It offers self-healing capabilities and can automatically rebalance data. Galera Cluster, being more complex, requires manual management and configuration of clusters, which can be challenging for less experienced administrators.

In summary, CockroachDB's ACID compliance, strict consistency model, automatic sharding, and simplified management make it a versatile option for distributed databases. On the other hand, Galera Cluster provides multi-master replication, optimistic concurrency control, and flexibility for deployments within a single data center, but requires more manual intervention and is less suitable for geo-distributed setups.

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Detailed Comparison

Galera Cluster
Galera Cluster
CockroachDB
CockroachDB

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

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.

True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
sql; high availability; fast; acid;
Statistics
Stacks
54
Stacks
216
Followers
102
Followers
341
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
No integrations available

What are some alternatives to Galera Cluster, 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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

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