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

Percona vs Vitess

OverviewComparisonAlternatives

Overview

Percona
Percona
Stacks143
Followers101
Votes0
Vitess
Vitess
Stacks66
Followers166
Votes0

Percona vs Vitess: What are the differences?

Introduction

Percona and Vitess are both open-source database solutions that provide advanced features and performance optimizations for managing large-scale databases. While they may share some similarities, there are several key differences between these two technologies. Below are the six key differences between Percona and Vitess:

  1. Scaling Approach: Percona utilizes traditional methods like sharding and replication for scaling up databases. On the other hand, Vitess employs a more advanced approach called "horizontal sharding." With horizontal sharding, Vitess dynamically splits large tables into smaller ones, allowing for more efficient and flexible scaling.

  2. Query Rewriting and Routing: Percona offers query rewriting and routing through its ProxySQL component. ProxySQL allows for advanced query routing, load balancing, and caching. In contrast, Vitess provides its own innovative query routing capabilities, implementing a concept called "VTGate." VTGate intelligently routes queries to the appropriate shards, minimizing latency and optimizing performance.

  3. Database Support: Percona is primarily focused on enhancing the performance and scalability of MySQL and MongoDB databases. It provides additional features and optimizations specifically catering to these platforms. On the other hand, Vitess aims to provide a sharding layer for MySQL databases, making it more suitable for scenarios where a large, sharded database is required.

  4. Data Consistency: Percona guarantees strong consistency across replicated nodes through a synchronous replication approach. This ensures that all nodes have identical data in real-time. In contrast, Vitess provides eventual consistency across shards, promoting high availability and performance. It employs semi-synchronous replication, where a commit occurs as soon as a majority of replicas have acknowledged.

  5. Ease of Deployment: Percona can be easily deployed as it builds upon existing MySQL and MongoDB installations. It integrates well with these databases, allowing for a smooth transition and minimal changes to the existing infrastructure. Conversely, Vitess requires a more significant architectural change, as it acts as a proxy layer between the application and database, requiring additional components and setup.

  6. Community and Support: Percona has a robust and established community, offering extensive documentation, support, and additional tools. It has been widely adopted and has a significant user base. Vitess, while growing in popularity, has a smaller community compared to Percona. Finding additional resources, documentation, and community support for Vitess might be slightly more challenging.

In summary, Percona primarily focuses on enhancing MySQL and MongoDB performance, offering traditional scaling methods and extensive community support. In contrast, Vitess specializes in horizontally sharding MySQL databases, implementing innovative query routing techniques and ensuring eventual consistency across shards.

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Detailed Comparison

Percona
Percona
Vitess
Vitess

It delivers enterprise-class software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.

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.

Storing Key ring in a File; Encrypt InnoDB Data; Encrypt InnoDB Logs
Scalability; Connection pooling; Manageability
Statistics
Stacks
143
Stacks
66
Followers
101
Followers
166
Votes
0
Votes
0
Integrations
MySQL
MySQL
SQLite
SQLite
MongoDB
MongoDB
Amazon RDS
Amazon RDS
Kubernetes
Kubernetes
MySQL
MySQL

What are some alternatives to Percona, 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.

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