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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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What is ProxySQL?

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.

What is Vitess?

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.

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What companies use ProxySQL?
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What are some alternatives to ProxySQL and Vitess?
MaxScale
It is a database proxy that extends the high availability, scalability, and security of MariaDB Server while at the same time simplifying application development by decoupling it from underlying database infrastructure.
HAProxy
HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications.
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 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.
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.
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