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

Vitess vs YugabyteDB

OverviewComparisonAlternatives

Overview

Vitess
Vitess
Stacks66
Followers166
Votes0
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

Vitess vs YugabyteDB: What are the differences?

# Introduction
In this Markdown document, we will highlight the key differences between Vitess and YugabyteDB.

1. **Architecture**: Vitess is a database clustering system for horizontal scaling of MySQL through sharding, whereas YugabyteDB is a distributed SQL database designed for global, internet-scale applications. Vitess focuses on scaling MySQL while maintaining compatibility with its ecosystem, whereas YugabyteDB offers distributed, fault-tolerant, and geo-distributed data storage capabilities.
   
2. **Consistency Model**: Vitess guarantees strong consistency at the shard level using a concept known as VReplication, ensuring that data is consistent across all shards. On the other hand, YugabyteDB provides tunable consistency levels (strong, linearizable, and eventual) to accommodate various application requirements, offering flexibility between strong consistency and high availability.

3. **Database Compatibility**: Vitess primarily supports MySQL databases, allowing applications to benefit from its sharding and replication capabilities. In contrast, YugabyteDB is a fully distributed SQL database that supports multiple APIs, including PostgreSQL and Cassandra, providing users with the flexibility to choose the best API for their applications.

4. **Deployment Flexibility**: Vitess can be deployed as a managed service on cloud platforms such as Google Kubernetes Engine (GKE) or in a self-hosted environment. In comparison, YugabyteDB offers a similar deployment model on cloud platforms like Amazon Web Services (AWS) and Kubernetes, ensuring that users have multiple options for deploying and managing their database clusters.

5. **Data Distribution**: Vitess uses MySQL as its underlying storage engine and relies on consistent hashing for data distribution across shards. On the contrary, YugabyteDB distributes data more uniformly using its unique distributed document store, enabling automatic data partitioning and rebalancing for enhanced performance and scalability.

6. **Global Replication**: Among the notable differences, YugabyteDB offers built-in multi-region and multi-cloud replication features to support global, distributed databases, ensuring data locality and low-latency access across different regions. This global replication capability distinguishes YugabyteDB as a suitable choice for geo-distributed applications requiring high availability and disaster recovery mechanisms.

# In Summary, Vitess and YugabyteDB differ in their architecture, consistency models, database compatibility, deployment flexibility, data distribution mechanisms, and global replication features, catering to distinct use cases and preferences for scaling and managing databases in modern applications.

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Detailed Comparison

Vitess
Vitess
YugabyteDB
YugabyteDB

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.

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.

Scalability; Connection pooling; Manageability
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
66
Stacks
50
Followers
166
Followers
114
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
Amazon RDS
Amazon RDS
Kubernetes
Kubernetes
MySQL
MySQL
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 Vitess, 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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