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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. ProxySQL vs Vitess

ProxySQL vs Vitess

OverviewComparisonAlternatives

Overview

ProxySQL
ProxySQL
Stacks43
Followers85
Votes0
Vitess
Vitess
Stacks66
Followers166
Votes0

ProxySQL vs Vitess: What are the differences?

Introduction ProxySQL and Vitess are both popular tools used for database management and optimization. While they share similar goals, there are several key differences between them that set them apart.

  1. Architecture: ProxySQL is a proxy software that sits between application and database, routing the queries from the application to the appropriate database backend. It acts as a reverse proxy, load balancer, and query router. On the other hand, Vitess is a distributed database solution that provides sharding, replication, and failover capabilities for MySQL databases. It divides the data into smaller portions and distributes them across multiple database instances.

  2. Scalability: ProxySQL focuses on horizontal scalability by distributing the database workload across multiple database instances. It can handle a large number of connections and acts as a connection pool for the database backends. Vitess, on the other hand, provides horizontal and vertical scalability by sharding the data and also replicating it across different database instances. It allows for dynamic re-sharding to handle increased workload.

  3. Query Optimization: ProxySQL emphasizes query routing and load balancing, but it does not provide advanced query optimization capabilities. It does not modify the query execution plan or optimize the queries itself. Vitess, on the other hand, has built-in query optimization features that enable it to rewrite and optimize queries before executing them. It can also cache query results for improved performance.

  4. Consistency Model: ProxySQL does not enforce any strong consistency model by default. It allows for eventual consistency as it distributes the queries across multiple backends. Vitess, on the other hand, provides strong consistency guarantees as it replicates the data across different database instances. It ensures that all replicas are consistent and up-to-date.

  5. Compatibility: ProxySQL is compatible with various database management systems, including MySQL and PostgreSQL. It can be used to proxy and optimize queries for different database types. Vitess, on the other hand, is specifically designed for MySQL databases. It provides specific features and optimizations tailored for MySQL.

  6. Deployment and Management: ProxySQL is relatively easy to deploy and manage. It can be set up as a standalone proxy or as a cluster of proxies. Configuration changes can be made in real-time without downtime. Vitess, on the other hand, requires more setup and configuration as it involves sharding and replication. It provides additional tools for managing the sharded clusters and automating tasks such as resharding.

In summary, ProxySQL focuses on query routing, load balancing, and horizontal scalability, while Vitess provides sharding, replication, query optimization, and strong consistency guarantees for MySQL databases.

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Detailed Comparison

ProxySQL
ProxySQL
Vitess
Vitess

It has an advanced multi-core architecture. It's built from the ground up to support hundreds of thousands of concurrent connections, multiplexed to potentially hundreds of backend servers. It helps you squeeze the last drop of performance out of your MySQL cluster, without controlling the applications that generate the queries.

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.

Query caching; Query Routing; Supports failover
Scalability; Connection pooling; Manageability
Statistics
Stacks
43
Stacks
66
Followers
85
Followers
166
Votes
0
Votes
0
Integrations
MySQL
MySQL
MariaDB
MariaDB
Percona
Percona
Amazon RDS
Amazon RDS
Kubernetes
Kubernetes
MySQL
MySQL

What are some alternatives to ProxySQL, 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.

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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