What are the open source databases under Linux?-Linux Operation and Maintenance-php.cn

Home

Operation and Maintenance

Linux Operation and Maintenance

What are the open source databases under Linux?

青灯夜游

Jun 21, 2022 pm 05:45 PM

linux

The open source databases under Linux include: 1. MySQL, which is an open source relational database management system; 2. PostgreSQL, which is an "object-relational" database management system; 3. MongoDB, which is an An open source, document-oriented NoSQL database; 4. Hadoop, an open source distributed database based on the column storage model; 5. Couchbase, a document database based on the JSON model; 6. Neo4j, an open source High-performance NoSQL graph database.

What are the open source databases under Linux?

#The operating environment of this tutorial: linux7.3 system, Dell G3 computer.

Open source database under Linux

1. MySQL

MySQL is an open source relationship type database management system, a product of Oracle Corporation. It supports multiple storage engines, clusters, full-text indexing, supports multi-threading, makes full use of CPU resources, supports multiple users and many other very professional functions.

MySQL has become the most popular open source database due to its high performance, low cost, and good reliability, and is widely used in Web applications and other small and medium-sized projects. From WordPress to Movable Type, MySQL is used as the default database. In addition, since Oracle acquired MySQL, there is a potential risk of closing MySQL. Therefore, the community has adopted a branch approach to avoid this risk and develops and operates a MariaDB database that is fully compatible with MySQL.

2. PostgreSQL

PostgreSQL can be referred to as "postgres". It is an object-relational database management system. PostgreSQL uses the more classic C/S (client/server) structure, that is, a client corresponds to a server-side daemon. PostgreSQL has a very perfect driver and supports standard ANSI-SQL and extended functions, surpassing MySQL in many aspects.

PostgreSQL is a full-featured free software database. For a long time, PostgreSQL was the only free software that supported transactions, subqueries, multi-version parallel control system (MVCC), data integrity checking and other features. Software database management system. Many cloud service providers, such as Heroku, use PostgreSQL as their RDBMS storage.

In terms of shortcomings, PostgreSQL still lacks some features required by higher-end database management systems, such as database clusters, better management tools and more automated system optimization functions to improve database performance.

3. MongoDB

MongoDB is an open source, document-oriented and the most popular NoSQL database at the moment. It is also a cross between a relational database and a non-relational database. products between databases. The biggest feature of Mongo is that the query language it supports is very powerful. Its syntax is somewhat similar to an object-oriented query language. It can almost implement most functions similar to single-table queries in relational databases, and it also supports indexing of data. It also has the characteristics of high performance, easy deployment, easy use, and very convenient data storage.

4. Hadoop (HBase)

Hadoop (HBase) is an open source distributed database based on the column storage model. It is part of the Apache Hadoop project. The development language is Java.

HBase is different from general relational databases. It is a database suitable for unstructured data storage. Another difference is that HBase is column-based rather than row-based. It is a distributed database with high reliability, high performance, scalability, and based on the relational model.

HBase is an open source implementation of Google Bigtable. Similar to Google Bigtable, GFS is used as its file storage system to store large-scale structured data. HBase uses Hadoop HDFS as its file storage system; Google runs MapReduce to process massive data in Bigtable, and HBase also uses Hadoop MapReduce to process massive data in HBase; Google Bigtable uses Chubby as a collaborative service, and HBase uses Zookeeper as a counterpart.

5. Couchbase

Couchbase is a document database based on the JSON model. It is a fork of CouchDB and can achieve horizontal scaling and read and write data. All provide low-latency access. Couchbase is more comprehensive than CouchDB, and the Couchbase product includes a copy of CouchDB. Couchbase products add caching, clustering and other functions to CouchDB. In addition, Couchbase also includes some nice integration features, making Couchbase a good choice for a data storage system.

6. Neo4j

Neo4j is an open source, high-performance NoSQL graph database. It uses graph-related concepts to describe the data model and save the data. are the nodes in the graph and the relationships between them. Supports ACID transactions (atomicity, independence, durability and consistency).

In reality, a lot of data is expressed using graphs, such as relationships between people in social networks, map data, or genetic information, etc. The most basic concepts in Neo4j are nodes and relationships. Nodes represent entities, and between two nodes, there can be different relationships.

7、Redis

Redis is an open source, network-enabled, memory-based, key-value storage database. Developers can dump entire hash values, lists, sets, and other complex result stores without storing numbers and strings. In addition, Redis also provides replication/synchronization and persistence functions.

Redis is a high-performance key-value database. The emergence of Redis has largely compensated for the shortcomings of key/value storage such as memcached, and can play a very good supplementary role to relational databases in some situations.

8, Firebird

Firebird is a cross-platform relational database, developed in C and C, and available on Linux, Windows, MacOS and various Unix platforms Runs many ANSI SQL standard functions. Currently it can run on Windows, Linux and various Unix operating systems, and can provide high performance and powerful language support for stored procedures and triggers.

Firebird can run as a database server in a multi-user environment and also provides the implementation of an embedded database.

9. Memcached

Memcached is a distributed cache system that can be used to store data in various formats, including images, videos, files, and Database search results, etc. Simply put, the data is called into the memory and then read from the memory, thereby greatly improving the reading speed.

Memcached supports many platforms: Linux, FreeBSD, Solaris, Mac OS, and can also be installed on Windows.

To install memcached on Linux system, you must first install the libevent library.

Since Memcached is usually only used as a cache system, applications using Memcached need additional code to update the data in Memcached when writing back to a slower system (such as a back-end database) .

10. MariaDB

MariaDB database management system is a branch of MySQL and is fully compatible with MySQL, including API and command line, making it an easy replacement for MySQL. . In terms of storage engine, XtraDB is used instead of MySQL's InnoDB. Additional functionality has been added to support local non-blocking operations and progress reporting. This means that all connectors, libraries and applications that use MySQL will also work with MariaDB.

MariaDB was developed by Michael Widenius, the founder of MySQL. As mentioned above, many companies have moved their projects to MariaDB, such as Wikipedia, Google, etc.

11. MonetDB

MonetDB is an open source, column-oriented database management system, which is specially designed for data mining, OLAP, GIS, XML query, text and Multimedia retrieval provides high-performance applications.

The MonetDB database management system includes MonetDB/SQL, MonetDB/GIS, and MonetDB servers. It also features automatic and self-tuning indexing, runtime query optimization, and a modular software architecture.

Related recommendations: "Linux Video Tutorial"

The above is the detailed content of What are the open source databases under Linux?. For more information, please follow other related articles on the PHP Chinese website!

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

The 5 Core Components of the Linux Operating SystemMay 08, 2025 am 12:08 AM

The five core components of the Linux operating system are: 1. Kernel, 2. System libraries, 3. System tools, 4. System services, 5. File system. These components work together to ensure the stable and efficient operation of the system, and together form a powerful and flexible operating system.

The 5 Essential Elements of Linux: ExplainedMay 07, 2025 am 12:14 AM

The five core elements of Linux are: 1. Kernel, 2. Command line interface, 3. File system, 4. Package management, 5. Community and open source. Together, these elements define the nature and functionality of Linux.

Linux Operations: Security and User ManagementMay 06, 2025 am 12:04 AM

Linux user management and security can be achieved through the following steps: 1. Create users and groups, using commands such as sudouseradd-m-gdevelopers-s/bin/bashjohn. 2. Bulkly create users and set password policies, using the for loop and chpasswd commands. 3. Check and fix common errors, home directory and shell settings. 4. Implement best practices such as strong cryptographic policies, regular audits and the principle of minimum authority. 5. Optimize performance, use sudo and adjust PAM module configuration. Through these methods, users can be effectively managed and system security can be improved.

Linux Operations: File System, Processes, and MoreMay 05, 2025 am 12:16 AM

The core operations of Linux file system and process management include file system management and process control. 1) File system operations include creating, deleting, copying and moving files or directories, using commands such as mkdir, rmdir, cp and mv. 2) Process management involves starting, monitoring and killing processes, using commands such as ./my_script.sh&, top and kill.

Linux Operations: Shell Scripting and AutomationMay 04, 2025 am 12:15 AM

Shell scripts are powerful tools for automated execution of commands in Linux systems. 1) The shell script executes commands line by line through the interpreter to process variable substitution and conditional judgment. 2) The basic usage includes backup operations, such as using the tar command to back up the directory. 3) Advanced usage involves the use of functions and case statements to manage services. 4) Debugging skills include using set-x to enable debugging mode and set-e to exit when the command fails. 5) Performance optimization is recommended to avoid subshells, use arrays and optimization loops.

Linux Operations: Understanding the Core FunctionalityMay 03, 2025 am 12:09 AM

Linux is a Unix-based multi-user, multi-tasking operating system that emphasizes simplicity, modularity and openness. Its core functions include: file system: organized in a tree structure, supports multiple file systems such as ext4, XFS, Btrfs, and use df-T to view file system types. Process management: View the process through the ps command, manage the process using PID, involving priority settings and signal processing. Network configuration: Flexible setting of IP addresses and managing network services, and use sudoipaddradd to configure IP. These features are applied in real-life operations through basic commands and advanced script automation, improving efficiency and reducing errors.

Linux: Entering and Exiting Maintenance ModeMay 02, 2025 am 12:01 AM

The methods to enter Linux maintenance mode include: 1. Edit the GRUB configuration file, add "single" or "1" parameters and update the GRUB configuration; 2. Edit the startup parameters in the GRUB menu, add "single" or "1". Exit maintenance mode only requires restarting the system. With these steps, you can quickly enter maintenance mode when needed and exit safely, ensuring system stability and security.

Understanding Linux: The Core Components DefinedMay 01, 2025 am 12:19 AM

The core components of Linux include kernel, shell, file system, process management and memory management. 1) Kernel management system resources, 2) shell provides user interaction interface, 3) file system supports multiple formats, 4) Process management is implemented through system calls such as fork, and 5) memory management uses virtual memory technology.

See all articles