StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Percona Server for MySQL vs Vitess

Percona Server for MySQL vs Vitess

OverviewComparisonAlternatives

Overview

Percona Server for MySQL
Percona Server for MySQL
Stacks53
Followers52
Votes0
GitHub Stars1.2K
Forks502
Vitess
Vitess
Stacks66
Followers166
Votes0

Percona Server for MySQL vs Vitess: What are the differences?

Comparison between Percona Server for MySQL and Vitess

Percona Server for MySQL is a powerful open-source database server that offers high performance, scalability, and robustness for reliable data storage and retrieval. It provides various features such as improved performance tuning, enhanced server monitoring, and advanced storage engines.

1. Scalability: One key difference between Percona Server for MySQL and Vitess is their approach to scalability. Percona Server for MySQL focuses on traditional vertical scaling by optimizing performance on a single server through innovative features and enhancements. In contrast, Vitess is designed for horizontal scalability, providing sharding capabilities to distribute data across multiple servers and handle massive workloads more efficiently.

2. High Availability: Percona Server for MySQL offers built-in high availability features such as Percona XtraDB Cluster for ensuring data redundancy and fault tolerance. It allows for automatic failover and seamless data synchronization among nodes. On the other hand, Vitess provides tools for managing high availability in a sharded environment, enabling automatic failover and recovery while maintaining data consistency across shards.

3. Query Routing: In terms of query routing, Percona Server for MySQL relies on traditional MySQL proxy solutions like ProxySQL to manage connections and distribute queries to the database nodes efficiently. Vitess, on the other hand, incorporates its own query routing and load balancing mechanisms within the system, eliminating the need for external proxy layers and simplifying the overall architecture.

4. Online Schema Changes: Percona Server for MySQL offers online schema changes tools like Percona Toolkit, allowing administrators to perform schema alterations without downtime on live production databases. Vitess also supports online schema changes but provides its mechanisms for schema migration and alterations in a sharded environment, ensuring minimal impact on application availability during schema modifications.

5. Kubernetes Integration: Vitess has strong integration with Kubernetes, allowing users to deploy and manage Vitess clusters within Kubernetes environments easily. This integration streamlines the deployment, scaling, and management of Vitess clusters on Kubernetes infrastructure, providing a more cloud-native approach to orchestrating database workloads compared to Percona Server for MySQL.

6. Auto-sharding: One significant difference between Percona Server for MySQL and Vitess is the concept of auto-sharding. Vitess automates the sharding process by dynamically splitting and distributing data across shards as data grows, simplifying the management of large-scale databases and improving performance. Percona Server for MySQL, while supporting sharding, requires manual configuration and management of shards by database administrators.

In Summary, Percona Server for MySQL focuses on optimizing server performance and reliability through traditional scaling approaches, while Vitess emphasizes horizontal scalability, high availability, and advanced features like auto-sharding for efficient data management in distributed environments.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Percona Server for MySQL
Percona Server for MySQL
Vitess
Vitess

It is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

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.

Works on-premises and in the cloud;Enterprise ready;SaaS deployable;Vertical scalability and server consolidation;Deep visibility into database performance;Faster and more consistently run queries; Enhanced security with binary log (binlog) encryption and data-at-rest encryption; Improved efficiency with server consolidation
Scalability; Connection pooling; Manageability
Statistics
GitHub Stars
1.2K
GitHub Stars
-
GitHub Forks
502
GitHub Forks
-
Stacks
53
Stacks
66
Followers
52
Followers
166
Votes
0
Votes
0
Integrations
CentOS
CentOS
Red Hat Enterprise Linux (RHEL)
Red Hat Enterprise Linux (RHEL)
Debian
Debian
Amazon Linux
Amazon Linux
Amazon RDS
Amazon RDS
Kubernetes
Kubernetes
MySQL
MySQL

What are some alternatives to Percona Server for MySQL, Vitess?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase