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  5. Percona Server for MongoDB vs Percona Server for MySQL

Percona Server for MongoDB vs Percona Server for MySQL

OverviewComparisonAlternatives

Overview

Percona Server for MySQL
Percona Server for MySQL
Stacks53
Followers52
Votes0
GitHub Stars1.2K
Forks502
Percona Server for MongoDB
Percona Server for MongoDB
Stacks14
Followers27
Votes0
GitHub Stars231
Forks66

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

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; Percona Server for MongoDB: Open source, drop-in replacement for the MongoDB. It is a free, enhanced, fully compatible, open source, drop-in replacement for the MongoDB Community Edition that includes enterprise-grade features and functionality. Its storage engine options and enterprise-grade functionality provide enterprises with far greater flexibility for managing their database infrastructures.

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

Some of the features offered by Percona Server for MySQL are:

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

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

  • WiredTiger
  • MMAPv1
  • Percona Memory Engine

Percona Server for MySQL and Percona Server for MongoDB are both open source tools. It seems that Percona Server for MySQL with 593 GitHub stars and 267 forks on GitHub has more adoption than Percona Server for MongoDB with 92 GitHub stars and 31 GitHub forks.

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Detailed Comparison

Percona Server for MySQL
Percona Server for MySQL
Percona Server for MongoDB
Percona Server for MongoDB

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 free, enhanced, fully compatible, open source, drop-in replacement for the MongoDB Community Edition that includes enterprise-grade features and functionality. Its storage engine options and enterprise-grade functionality provide enterprises with far greater flexibility for managing their database infrastructures.

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
WiredTiger; MMAPv1; Percona Memory Engine; MongoRocks; Hot Backup for WiredTiger and MongoRocks; Audit Logging; External SASL Authentication; Profiling Rate Limit; Geospatial Indexes; Text Search
Statistics
GitHub Stars
1.2K
GitHub Stars
231
GitHub Forks
502
GitHub Forks
66
Stacks
53
Stacks
14
Followers
52
Followers
27
Votes
0
Votes
0
Integrations
CentOS
CentOS
Red Hat Enterprise Linux (RHEL)
Red Hat Enterprise Linux (RHEL)
Debian
Debian
Amazon Linux
Amazon Linux
CentOS
CentOS
Azure Active Directory
Azure Active Directory
OpenLDAP
OpenLDAP
Debian
Debian
Ubuntu
Ubuntu

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

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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