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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CockroachDB vs Vitess

CockroachDB vs Vitess

OverviewComparisonAlternatives

Overview

Vitess
Vitess
Stacks66
Followers166
Votes0
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs Vitess: What are the differences?

Introduction

Both CockroachDB and Vitess are popular database systems that offer distributed and scalable solutions for handling large datasets. While they share similarities, there are several key differences between the two.

  1. Principle of Operation: CockroachDB is a distributed SQL database that is built on top of a distributed key-value store, allowing it to handle high availability and horizontal scalability. On the other hand, Vitess is a database clustering system specifically designed to run on top of MySQL. It provides sharding, replication, and query routing functionalities for scaling and managing MySQL databases.

  2. Consistency Model: CockroachDB follows a strong consistency model, ensuring that all nodes see the same data at the same time. It achieves this by using a distributed consensus protocol called Raft. In contrast, Vitess follows a more relaxed consistency model known as "semi-sync replication." It allows for eventual consistency, where updates made to the database may take some time to propagate across all nodes.

  3. Supported Databases: While CockroachDB is a standalone database system that supports SQL, Vitess is primarily designed to work with MySQL as a clustering layer. Vitess provides features like sharding and routing specifically for MySQL databases, whereas CockroachDB is agnostic to the underlying database engine.

  4. Transactions and Locking: CockroachDB supports distributed ACID transactions, which allow operations to be grouped together and ensure a consistent state across multiple nodes. It uses a distributed transactional protocol called "Single-Row Serializable" to ensure serializability and isolation. Vitess, on the other hand, does not provide built-in support for distributed transactions. It relies on MySQL's transaction capabilities and locking mechanisms for handling transactional operations.

  5. Query Routing: CockroachDB uses distributed SQL to route queries to the appropriate nodes for execution. It takes advantage of the distributed nature of the database to parallelize query execution across multiple nodes. Vitess, on the other hand, provides intelligent query routing and transparent sharding capabilities. It can automatically route queries to the appropriate shard based on the table being accessed, improving performance and scalability.

  6. Data Model: CockroachDB provides a flexible data model that supports both structured and semi-structured data. It stores data in tables with rows and columns, similar to traditional relational databases. Vitess, on the other hand, follows the relational data model and stores data in tables with predefined schemas. It primarily focuses on scaling and managing large MySQL databases.

In summary, CockroachDB is a distributed SQL database that provides strong consistency, support for distributed transactions, and a flexible data model. Vitess, on the other hand, is a clustering system designed specifically for MySQL, offering sharding, replication, and query routing capabilities with a more relaxed consistency model.

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Detailed Comparison

Vitess
Vitess
CockroachDB
CockroachDB

It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.

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.

Scalability; Connection pooling; Manageability
sql; high availability; fast; acid;
Statistics
Stacks
66
Stacks
216
Followers
166
Followers
341
Votes
0
Votes
0
Integrations
Amazon RDS
Amazon RDS
Kubernetes
Kubernetes
MySQL
MySQL
No integrations available

What are some alternatives to Vitess, 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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