Citus vs Percona Server for MySQL

Overview

Citus

Stacks60

Followers124

Votes11

GitHub Stars12.0K

Forks736

Percona Server for MySQL

Stacks53

Followers52

Votes0

GitHub Stars1.2K

Forks502

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

What is Citus? Worry-free Postgres for SaaS. Built to scale out. Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service.

What is Percona Server for MySQL? Open Source drop-in replacement for MySQL. 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.

Citus and Percona Server for MySQL can be categorized as "Databases" tools.

Some of the features offered by Citus are:

Multi-Node Scalable PostgreSQL
Built-in Replication and High Availability
Real-time Reads/Writes On Multiple Nodes

On the other hand, Percona Server for MySQL provides the following key features:

Works on-premises and in the cloud
Enterprise ready
SaaS deployable

Citus and Percona Server for MySQL are both open source tools. Citus with 3.73K GitHub stars and 285 forks on GitHub appears to be more popular than Percona Server for MySQL with 585 GitHub stars and 262 GitHub forks.

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Detailed Comparison

Citus	Percona Server for MySQL
It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.	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.
Multi-Node Scalable PostgreSQL;Built-in Replication and High Availability;Real-time Reads/Writes On Multiple Nodes;Multi-core Parallel Processing of Queries;Tenant isolation	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
Statistics
GitHub Stars 12.0K	GitHub Stars 1.2K
GitHub Forks 736	GitHub Forks 502
Stacks 60	Stacks 53
Followers 124	Followers 52
Votes 11	Votes 0
Pros & Cons
Pros 6 Multi-core Parallel Processing 3 Drop-in PostgreSQL replacement 2 Distributed with Auto-Sharding	No community feedback yet
Integrations
.NET Apache Spark Loggly Java Rails Datadog Logentries Heroku Papertrail PostgreSQL	CentOS Red Hat Enterprise Linux (RHEL) Debian Amazon Linux

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

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

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.

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 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

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 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

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 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

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.