存储系统的分类

分手后的思念是犯贱 2022-06-06 05:16 185阅读 0赞

存储系统的分类

之前收集了一些存储产品，最近又重新整理了一下，对他们进行了简单的分类。每个对存储的分类可能不仅相同，我的分类完全按照自己的喜好来分，如和您的分类不同，仅供参考。只是做了搜集和分类，少量产品加了写介绍，希望以后有时间，加更多更详细的介绍。

\[TOC\]

# 1.存储引擎 #

## 1.1 Hash Table ##

### 1.1.1 dbm (database manager) ###

[https://en.wikipedia.org/wiki/Dbm][https_en.wikipedia.org_wiki_Dbm]

The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key.

## 1.2 btree ##

### 1.2.1 berkerlydb ###

[https://en.wikipedia.org/wiki/Berkeley\_DB][https_en.wikipedia.org_wiki_Berkeley_DB]

[http://baike.baidu.com/view/1281930.htm][http_baike.baidu.com_view_1281930.htm]

Key/value数据模型

Berkeley DB最初开发的目的是以新的HASH访问算法来代替旧的hsearch函数和大量的dbm实现（如AT&T的dbm，Berkeley的 ndbm，GNU项目的gdbm）

oracle

Written in C, java

BTREE, HASH, QUEUE, RECNO storage

[https://www.oracle.com/database/berkeley-db/db.html][https_www.oracle.com_database_berkeley-db_db.html]

[http://www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html][http_www.oracle.com_technetwork_database_database-technologies_berkeleydb_overview_index.html]

### 1.2.2 LMDB (Lightning Memory-Mapped Database) ###

LMDB is a Btree-based database management library modeled loosely on the BerkeleyDB API, but much simplified. The entire database is exposed in a memory map, and all data fetches return data directly from the mapped memory, so no malloc's or memcpy's occur during data fetches.

[https://symas.com/products/lightning-memory-mapped-database/][https_symas.com_products_lightning-memory-mapped-database]

[https://github.com/LMDB/lmdb][https_github.com_LMDB_lmdb]

[http://www.lmdb.tech/doc/][http_www.lmdb.tech_doc]

### 1.2.3 BoltDB ###

Bolt is a pure Go key/value store inspired by Howard Chu's LMDB project.

[https://github.com/boltdb][https_github.com_boltdb]

[https://github.com/boltdb/bolt][https_github.com_boltdb_bolt]

## 1.3 LSM ##

### 1.3.1 LevelDB ###

[https://github.com/google/leveldb][https_github.com_google_leveldb]

C++, google

### 1.3.2 RocksDB ###

[http://rocksdb.org/][http_rocksdb.org]

[https://github.com/facebook/rocksdb/][https_github.com_facebook_rocksdb]

C++/java

### 1.3.3GoLevelDB ###

[https://github.com/syndtr/goleveldb][https_github.com_syndtr_goleveldb]

### 1.3.4gorocksdb ###

[https://github.com/tecbot/gorocksdb][https_github.com_tecbot_gorocksdb]

Go wrapper for RocksDB

### 1.3.5 levigo ###

Go wrapper for LevelDB

[https://github.com/jmhodges/levigo][https_github.com_jmhodges_levigo]

### 1.3.6 mongo-rocks ###

RocksDB Storage Engine Module for MongoDB

[https://github.com/mongodb-partners/mongo-rocks][https_github.com_mongodb-partners_mongo-rocks]

C++

## 1.4 LSH ##

### 1.4.1 bitcask ###

[https://github.com/basho/bitcask][https_github.com_basho_bitcask]

采用bitcask模型的有：beandb, Riak

erlang

日志结构的key/value存储系统Bitcas

[http://blog.chinaunix.net/uid-20196318-id-154750.html][http_blog.chinaunix.net_uid-20196318-id-154750.html]

Bitcask存储模型

[http://blog.csdn.net/qq910894904/article/details/37756377][http_blog.csdn.net_qq910894904_article_details_37756377]

## 1.5 FractalTree ##

### 1.5.1 PerconaFT ###

[https://github.com/percona/PerconaFT][https_github.com_percona_PerconaFT]

[https://www.percona.com/doc/percona-server-for-mongodb/perconaft.html][https_www.percona.com_doc_percona-server-for-mongodb_perconaft.html]

[https://github.com/percona/PerconaFT/wiki][https_github.com_percona_PerconaFT_wiki]

Mysql存储引擎之TokuDB以及它的数据结构Fractal tree(分形树)

[http://www.fxysw.com/thread-5061-1-1.html][http_www.fxysw.com_thread-5061-1-1.html]

[https://en.wikipedia.org/wiki/Fractal\_tree\_index][https_en.wikipedia.org_wiki_Fractal_tree_index]

TokuDB的索引结构–分形树的实现

[http://www.cnblogs.com/chaosheng/p/5250037.html][http_www.cnblogs.com_chaosheng_p_5250037.html]

## 1.6 dbm系列 ##

### 1.6.1 QDBM (Quick DataBase Manager) ###

[http://sourceforge.net/projects/qdbm/][http_sourceforge.net_projects_qdbm]

[http://qdbm.sourceforge.net/][http_qdbm.sourceforge.net]

[http://qdbm.sourceforge.net/benchmark.pdf][http_qdbm.sourceforge.net_benchmark.pdf]

used by nmdb

### 1.6.2 ndbm (New Database Manager) ###

[https://en.wikipedia.org/wiki/Ndbm][https_en.wikipedia.org_wiki_Ndbm]

[http://infolab.stanford.edu/~ullman/dbsi/win98/ndbm.html][http_infolab.stanford.edu_ullman_dbsi_win98_ndbm.html]

ndbm (standing for New Database Manager) is a Berkeley produced version from 1986 of the AT&T dbm database.

ndbm stores arbitrary data by use of a single key in fixed-size buckets.

### 1.6.3 SDBM (Substitute Database Manager) ###

Substitute Database Manager

[https://github.com/davidar/sdbm][https_github.com_davidar_sdbm]

[http://www.cse.yorku.ca/~oz/sdbm.bun][http_www.cse.yorku.ca_oz_sdbm.bun]

### 1.6.4 GDBM （GNU Database Manager） ###

GNU Database Manager

[http://www.gnu.org.ua/software/gdbm/][http_www.gnu.org.ua_software_gdbm]

### 1.6.5 tdb (Trivial Database) ###

Trivial Database

[http://sourceforge.net/projects/tdb/][http_sourceforge.net_projects_tdb]

[http://tdb.sourceforge.net/][http_tdb.sourceforge.net]

### 1.6.6 CDB ###

[http://cr.yp.to/cdb.html][http_cr.yp.to_cdb.html]

### 1.6.7 TinyCDB ###

Tiny Constant Database

[http://www.corpit.ru/mjt/tinycdb.html][http_www.corpit.ru_mjt_tinycdb.html]

## 1.7 双类型 ##

### 1.7.1 Wiredtiger (btree, LSM) ###

C语言的

WiredTiger 本身也支持 LSM option (默认是 btree )

mangodb

[https://github.com/wiredtiger/wiredtiger][https_github.com_wiredtiger_wiredtiger]

[http://www.wiredtiger.com/][http_www.wiredtiger.com]

[http://source.wiredtiger.com/2.8.0/architecture.html\#cache][http_source.wiredtiger.com_2.8.0_architecture.html_cache]

### 1.7.2 Tokyo Cabinet and Kyoto Cabinet (B+tree,hash table) ###

[http://baike.baidu.com/view/2640411.htm][http_baike.baidu.com_view_2640411.htm]

[http://fallabs.com/tokyocabinet/][http_fallabs.com_tokyocabinet]

[https://en.wikipedia.org/wiki/Tokyo\_Cabinet\_and\_Kyoto\_Cabinet][https_en.wikipedia.org_wiki_Tokyo_Cabinet_and_Kyoto_Cabinet]

Tokyo Cabinet and Kyoto Cabinet are two libraries of routines for managing key-value databases.

Kyoto Cabinet is the designated successor of Tokyo Cabinet

Tokyo Cabinet 是一个DBM的实现

Tokyo Cabinet features on-disk B+ trees and hash tables for key-value storage

Used by nmdb，Kyoto TreeDB

### 1.7.3 RaptorDB key value store (B+ 树 或者 MurMur 哈希索引) ###

一个很小的、快速的嵌入式 NoSQL 存储模块，使用 B+ 树 或者 MurMur 哈希索引

Implemented in .NET

[http://raptordbkv.codeplex.com/][http_raptordbkv.codeplex.com]

[http://www.codeproject.com/Articles/190504/RaptorDB][http_www.codeproject.com_Articles_190504_RaptorDB]

[http://www.codeproject.com/Articles/316816/RaptorDB-The-Key-Value-Store-V][http_www.codeproject.com_Articles_316816_RaptorDB-The-Key-Value-Store-V]

## 1.8 SQL引擎类 ##

### 1.8.1 InnoDB ###

[http://www.oschina.net/p/innodb/][http_www.oschina.net_p_innodb]

[http://baike.baidu.com/view/1238935.htm][http_baike.baidu.com_view_1238935.htm]

[https://en.wikipedia.org/wiki/InnoDB][https_en.wikipedia.org_wiki_InnoDB]

## 1.9 document类 ##

### 1.9.1 RaptorDB document store ###

[http://raptordb.codeplex.com/][http_raptordb.codeplex.com]

[http://www.codeproject.com/Articles/375413/RaptorDB-the-Document-Store][http_www.codeproject.com_Articles_375413_RaptorDB-the-Document-Store]

# 2 嵌入式 #

[https://en.wikipedia.org/wiki/Embedded\_database][https_en.wikipedia.org_wiki_Embedded_database]

## 2.1 SQLite ##

[https://en.wikipedia.org/wiki/SQLite][https_en.wikipedia.org_wiki_SQLite]

## 2.2 UnQLite ##

盘点移动开发中最流行的5个数据库

[http://www.evget.com/article/2014/11/21/21843.html][http_www.evget.com_article_2014_11_21_21843.html]

# 3 单机存储 #

# 3.1 单值KV存储 #

### 3.1.1 Memcache ###

### 3.1.2 nmdb ###

[https://blitiri.com.ar/p/nmdb/][https_blitiri.com.ar_p_nmdb]

use qdbm, berkeley db, tokyo cabinet or tdb as database backends

C语言

### 3.1.3 Memcachedb ###

C语言,新浪

[http://memcachedb.org/][http_memcachedb.org]

a distributed key-value storage system designed for persistent  
It conforms to memcache protocol  
uses Berkeley DB as a storing backend

write 18868 w/s  
read 44444 r/s

using replication for master/slave  
6 policy for replication:

[http://memcachedb.org/memcachedb-guide-1.0.pdf][http_memcachedb.org_memcachedb-guide-1.0.pdf]

### 3.1.4 Kyoto Tycoon ###

[http://fallabs.com/kyototycoon/][http_fallabs.com_kyototycoon]

C/C++，FAL Labs

Kyoto Tycoon is a lightweight database server with auto expiration mechanism, which is useful to handle cache data and persistent data of various applications. Kyoto Tycoon is also a package of network interface to the DBM called Kyoto Cabinet.

### 3.1.5 ThruDB ###

建立在Apache Thrift framework下的简单服务

支持多个数据存储后端，包括BerkeleyDB、Disk、MySQL,还拥有Memcache和Spread集成

[http://code.google.com/p/thrudb/][http_code.google.com_p_thrudb]

Thrudb is a set of simple services built on top of the Apache Thrift framework that provides indexing and document storage services

## 3.2 结构化KV存储 ##

### 3.2.1 Redis ###

### 3.2.2 ssdb ###

[https://github.com/ideawu/ssdb][https_github.com_ideawu_ssdb]

[http://ssdb.io/zh\_cn/][http_ssdb.io_zh_cn]

[http://ssdb.io/docs/replication.html][http_ssdb.io_docs_replication.html]

[http://ssdb.io/docs/config.html][http_ssdb.io_docs_config.html]

[https://github.com/ideawu/ssdb/blob/master/ssdb.conf][https_github.com_ideawu_ssdb_blob_master_ssdb.conf]

采用ssd，使用leveldb作为存储引擎，兼容redis接口

C/C++

### 3.2.3 ssdb-rocks ###

[https://github.com/ideawu/ssdb-rocks][https_github.com_ideawu_ssdb-rocks]

ssdb的另一个版本，采用ssd，使用rocksdb作为存储引擎，兼容redis接口

### 3.3.4 ardb ###

[https://github.com/yinqiwen/ardb][https_github.com_yinqiwen_ardb]

redis-protocol compatible persistent nosql, it support multiple storage engines as backend like Google's LevelDB, Facebook's RocksDB, OpenLDAP's LMDB, WiredTiger, the default backend is Facebook's RocksDB.

C++

[http://yinqiwen.github.io/ardb/2014/08/23/ardbintroduction/][http_yinqiwen.github.io_ardb_2014_08_23_ardbintroduction]

### 3.2.5 (reborndb)QDB ###

兼容redis协议

Rocksdb and LevelDB

[https://github.com/reborndb/qdb][https_github.com_reborndb_qdb]

### 3.2.6 Pika ###

Pika 的存储引擎, 基于Rocksdb 修改. 封装Hash, List, Set, Zset等数据结构

[https://github.com/Qihoo360/pika][https_github.com_Qihoo360_pika]

[http://git.oschina.net/baotiao/pika][http_git.oschina.net_baotiao_pika]

[http://www.jianshu.com/p/d4f23120cbe4][http_www.jianshu.com_p_d4f23120cbe4]

首发丨360开源的类Redis存储系统:Pika

[https://mp.weixin.qq.com/s?\_\_biz=MzAwMDU1MTE1OQ==&mid=2653547160&idx=1&sn=befd195e2aa788775aaf1cc3b6f6fab3&scene=1&srcid=0512FqLKcLjVNH0zbKVlVBSO&key=b28b03434249256b1da1489d74564ea1a9d5b15207160026adc2a6ce0622b47c084d23b75e909dfe14f6173662cbdf5b&ascene=0&uin=MjMxMzM3NjIyMw%3D%3D&devicetype=iMac+MacBookPro12%2C1+OSX+OSX+10.11.4+build(15E65)&version=11020201&pass\_ticket=WU1aAnx4aVkuID0Quq0HGuKNQB68CvjQzaTnnIhjJFZwLcPqGk1zilYX4uRvF9sd][https_mp.weixin.qq.com_s_biz_MzAwMDU1MTE1OQ_mid_2653547160_idx_1_sn_befd195e2aa788775aaf1cc3b6f6fab3_scene_1_srcid_0512FqLKcLjVNH0zbKVlVBSO_key_b28b03434249256b1da1489d74564ea1a9d5b15207160026adc2a6ce0622b47c084d23b75e909dfe14f6173662cbdf5b_ascene_0_uin_MjMxMzM3NjIyMw_3D_3D_devicetype_iMac_MacBookPro12_2C1_OSX_OSX_10.11.4_build_15E65_version_11020201_pass_ticket_WU1aAnx4aVkuID0Quq0HGuKNQB68CvjQzaTnnIhjJFZwLcPqGk1zilYX4uRvF9sd]

首发丨360开源的类Redis存储系统:Pika

[https://media.weibo.cn/article?id=2309403974295628970629][https_media.weibo.cn_article_id_2309403974295628970629]

### 3.2.7 LedisDB ###

A high performance NoSQL like Redis powered by Go

LevelDB, goleveldb, LMDB, RocksDB, BoltDB or Memory

[http://ledisdb.com/][http_ledisdb.com]

[https://github.com/siddontang/ledisdb][https_github.com_siddontang_ledisdb]

## 3.3 文档型 ##

### 3.3.1 SisoDB ###

C\#编写的，专门提供给SQL Server面向文档的db-provider

[http://www.sisodb.com][http_www.sisodb.com]

## 3.4 SQL ##

### 3.4.1 MySQL ###

### 3.4.2 innostore ###

[https://github.com/basho/innostore][https_github.com_basho_innostore]

Innostore is a simple Erlang API to Embedded InnoDB

# 4 单机存储的proxy集群方案 #

## 4.1 KV/Redis类 ##

### 4.1.1 Twenproxy ###

[http://www.oschina.net/p/twemproxy][http_www.oschina.net_p_twemproxy]

[https://github.com/twitter/twemproxy][https_github.com_twitter_twemproxy]

静态的分布式Redis方案

### 4.1.2 Reborndb ###

[https://github.com/reborndb][https_github.com_reborndb]

[https://github.com/reborndb/reborn/blob/master/doc/tutorial\_zh.md][https_github.com_reborndb_reborn_blob_master_doc_tutorial_zh.md]

### 4.1.3 Codis ###

[http://www.oschina.net/p/codis][http_www.oschina.net_p_codis]

[https://github.com/wandoulabs/codis][https_github.com_wandoulabs_codis]

[https://github.com/CodisLabs/codis][https_github.com_CodisLabs_codis]

### 4.1.4 Netflix Dynomite ###

[https://github.com/Netflix/dynomite][https_github.com_Netflix_dynomite]

基于dynamo的思想

Dynomite: NetFlix对dynamo的开源通用实现

[http://www.infoq.com/cn/news/2014/11/dynomite-netflix-dynamo][http_www.infoq.com_cn_news_2014_11_dynomite-netflix-dynamo]

Netflix open sources Dynomite to make any datastore distributed

[https://gigaom.com/2014/11/03/netflix-open-sources-dynomite-to-make-any-datastore-distributed/][https_gigaom.com_2014_11_03_netflix-open-sources-dynomite-to-make-any-datastore-distributed]

A generic dynamo implementation for different k-v storage engines  
inspired by Dynamo whitepaper

### 4.1.5 dbcached ###

[http://code.google.com/p/dbcached/][http_code.google.com_p_dbcached]

a distributed key-value memory caching system for QDBM or Berkeley DB base on Memcached and NMDB

## 4.2 SQL类 ##

### 4.2.1 Mycat ###

[http://www.mycat.org.cn/][http_www.mycat.org.cn]

MyCat：开源分布式数据库中间件  
[http://mp.weixin.qq.com/s?\_\_biz=MzAwNjMxNjQzNA==&mid=208187004&idx=1&sn=60aba39c148711e95f00ec7ca2e13bb1&scene=0\#rd][http_mp.weixin.qq.com_s_biz_MzAwNjMxNjQzNA_mid_208187004_idx_1_sn_60aba39c148711e95f00ec7ca2e13bb1_scene_0_rd]

### 4.2.2 MySQL Fabric ###

### 4.2.3 TDDL ###

### 4.2.4 Cobar ###

### 4.2.5 Atlas ###

### 4.2.6 Heisenberg ###

### 4.2.7 Vitess ###

# 5 KV存储 #

## 5.1 riak ##

[http://www.oschina.net/p/riak/][http_www.oschina.net_p_riak]

[https://github.com/basho/riak][https_github.com_basho_riak]

采用bitcask模型

Riak的实现是基于Amazon的Dynamo论文

erlang

Riak是以 Erlang 编写的一个高度可扩展的分布式数据存储，Riak的实现是基于Amazon的Dynamo论文，Riak的设计目标之一就是高可用。

[http://docs.basho.com/riak/kv/2.2.3/][http_docs.basho.com_riak_kv_2.2.3]

## 5.2 beandb ##

[https://github.com/douban/beansdb][https_github.com_douban_beansdb]

[https://github.com/douban/beanseye][https_github.com_douban_beanseye]

采用bitcask模型

distributed key-value storage system

took the ideas from Amazon's Dynamo

## 5.3 Project Voldemort ##

[http://www.project-voldemort.com/voldemort/][http_www.project-voldemort.com_voldemort]

Voldemort is a distributed key-value storage system

[http://www.project-voldemort.com/voldemort/design.html][http_www.project-voldemort.com_voldemort_design.html]

[https://github.com/voldemort/voldemort][https_github.com_voldemort_voldemort]

BDB-JE, MySQL, Read-Only

## 5.4 Scalaris ##

[http://scalaris.zib.de/][http_scalaris.zib.de]

分布式key value

erlang

supported the ACID properties for multi-key transactions

[http://code.google.com/p/scalaris/][http_code.google.com_p_scalaris]

## 5.5 Aeospike ##

[www.aerospike.com][]

[http://www.aerospike.com/technologies/][http_www.aerospike.com_technologies]

[http://www.aerospike.com/docs/][http_www.aerospike.com_docs]

[http://www.aerospike.com/docs/architecture/index.html][http_www.aerospike.com_docs_architecture_index.html]

## 5.6 Tair ##

[http://code.taobao.org/p/tair/][http_code.taobao.org_p_tair]

[http://www.oschina.net/p/tair/][http_www.oschina.net_p_tair]

[https://github.com/alibaba/tair][https_github.com_alibaba_tair]

c/c++, 自研的mdb,fdb

## 5.7 dynomite ##

[https://github.com/moonpolysoft/dynomite/wiki][https_github.com_moonpolysoft_dynomite_wiki]

[http://www.oschina.net/p/dynomite/][http_www.oschina.net_p_dynomite]

# 6 文档型存储 #

## 6.1 MongoDB ##

## 6.2 CouchDB ##

CouchDB是文档型存储

[http://couchdb.apache.org/][http_couchdb.apache.org]

## 6.3 Membase / Couchbase ##

[http://www.couchbase.com/][http_www.couchbase.com]

[http://www.oschina.net/p/membase][http_www.oschina.net_p_membase]

[http://www.oschina.net/p/couchbase-server][http_www.oschina.net_p_couchbase-server]

[https://en.wikipedia.org/wiki/Couchbase\_Server][https_en.wikipedia.org_wiki_Couchbase_Server]

[http://www.couchbase.com/wiki/display/couchbase/Home][http_www.couchbase.com_wiki_display_couchbase_Home]

面向文档的 NoSQL 数据库管理系统

## 6.4 SequoiaDB ##

一个类mongodb的文档型存储  
[http://www.sequoiadb.com/cn/][http_www.sequoiadb.com_cn]

## 6.5 RavenDB ##

[http://ravendb.net/][http_ravendb.net]  
a .net document database built on the Windows ESENT storage system

支持Linq,可以使用C\#的Linq语法查询数据

## 6.6 OrientDB ##

虽然是文档型数据库，但是它的关系管理方式却和图形数据库相类似

[http://www.orientechnologies.com/][http_www.orientechnologies.com]

[http://orientdb.com/orientdb/][http_orientdb.com_orientdb]

Distributed Graph Database with the flexibility of Documents

是兼具文挡数据库的灵活性和图形数据库管理链接 能力的可深层次扩展的文档-图形数据库管理系统。可选无模式、全模式或混合模式下。支持许 多高级特性，诸如ACID事务、快速索引，原生和SQL查询功能。可以JSON格式导入、导出文档。若不执行昂贵的JOIN操作的话，如同关系数据库可在 几毫秒内可检索数以百记的链接文档图

Even if it is a document-based database, the relationships are managed as in graph databases with direct connections between records.

It supports schema-less, schema-full and schema-mixed modes.

## 6.7 RethinkDB ##

[http://www.rethinkdb.com/][http_www.rethinkdb.com]

[https://en.wikipedia.org/wiki/RethinkDB][https_en.wikipedia.org_wiki_RethinkDB]

[http://baike.baidu.com/link?url=IaJEn3OOWg3i\_q4HSIyqBfxRUATc2bpsoNfzcHdyAVa7vbs02R6PsIIyR4F2V4zZy9Wq3FJYW550B-d6IF6MV\_][http_baike.baidu.com_link_url_IaJEn3OOWg3i_q4HSIyqBfxRUATc2bpsoNfzcHdyAVa7vbs02R6PsIIyR4F2V4zZy9Wq3FJYW550B-d6IF6MV]

RethinkDB 1.14 (Brazil) 发布，分布式数据库  
[http://www.oschina.net/news/54771/rethinkdb-1-14-brazil][http_www.oschina.net_news_54771_rethinkdb-1-14-brazil]

# 7 列式存储 #

## 7.1 HBase ##

## 7.2 Cassandra ##

## 7.3 Accumulo ##

[https://accumulo.apache.org/][https_accumulo.apache.org]  
Apache Accumulo is based on Google's BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift.

## 7.4 Hypertable ##

[http://hypertable.org/][http_hypertable.org]  
an open source database system inspired by publications on the design of Google's BigTable.  
Hypertable runs on top of a distributed file system such as the Apache HDFS, GlusterFS or the Kosmos File System (KFS).

## 7.5 Scylla ##

[http://www.scylladb.com/][http_www.scylladb.com]  
[https://github.com/scylladb/scylla][https_github.com_scylladb_scylla]

# 8 NewSQL #

## 8.1 Actordb ##

[http://m.oschina.net/p/actordb][http_m.oschina.net_p_actordb]

[http://www.actordb.com/][http_www.actordb.com]

[https://github.com/biokoda/actordb][https_github.com_biokoda_actordb]

## 8.2 Cockroachdb ##

Go语言

[https://www.cockroachlabs.com/][https_www.cockroachlabs.com]

[https://github.com/cockroachdb/cockroach][https_github.com_cockroachdb_cockroach]

[https://groups.google.com/forum/\#!forum/cockroachdb-users][https_groups.google.com_forum_forum_cockroachdb-users]

[https://groups.google.com/forum/\#!forum/cockroach-db][https_groups.google.com_forum_forum_cockroach-db]

[https://www.cockroachlabs.com/docs/][https_www.cockroachlabs.com_docs]

Design Documents  
[https://github.com/cockroachdb/cockroach/blob/master/docs/design.md][https_github.com_cockroachdb_cockroach_blob_master_docs_design.md]

## 8.3 FoundationDB ##

[https://github.com/FoundationDB][https_github.com_FoundationDB]

[https://foundationdb.com/][https_foundationdb.com]

## 8.4 Oceanbase ##

[https://github.com/alibaba/oceanbase][https_github.com_alibaba_oceanbase]

OceanBase架构介绍  
[http://wenku.baidu.com/link?url=cknPHaARI1\_Z6tHGeFfF4Vn\_hDjAsfHElNu8yOX\_jX2qX4eIKaf4UrY2e02TcCf5ib7GOUf437IulU5lUPrixrrgMFOnEJUMUIkBDP\_\_jA7][http_wenku.baidu.com_link_url_cknPHaARI1_Z6tHGeFfF4Vn_hDjAsfHElNu8yOX_jX2qX4eIKaf4UrY2e02TcCf5ib7GOUf437IulU5lUPrixrrgMFOnEJUMUIkBDP_jA7]

## 8.5 SnappyData ##

## 8.6 TiDB ##

[https://github.com/pingcap/tidb][https_github.com_pingcap_tidb]  
Go 语言

[https://github.com/pingcap/tikv][https_github.com_pingcap_tikv]  
Rust语言

[https://github.com/pingcap/tidb/blob/master/docs/QUICKSTART.md][https_github.com_pingcap_tidb_blob_master_docs_QUICKSTART.md]

从零开始写分布式数据库

[https://github.com/ngaut/builddatabase][https_github.com_ngaut_builddatabase]

# 9 图数据库 #

## 9.1 Neo4j ##

## 9.2 Infinite Graph ##

[http://www.objectivity.com/products/infinitegraph/][http_www.objectivity.com_products_infinitegraph]

an enterprise distributed graph database

# 10 File存储 #

## 10.1 Ceph ##

[http://ceph.com/][http_ceph.com]

[https://github.com/ceph][https_github.com_ceph]

Ceph：一个 Linux PB 级分布式文件系统

[http://www.ibm.com/developerworks/cn/linux/l-ceph/][http_www.ibm.com_developerworks_cn_linux_l-ceph]

## 10.2 FastDFS ##

[http://code.google.com/p/fastdfs/][http_code.google.com_p_fastdfs]

## 10.3 HDFS ##

## 10.4 MogileFs ##

[https://github.com/mogilefs/][https_github.com_mogilefs]

## 10.5 MooseFS ##

[http://www.moosefs.org/][http_www.moosefs.org]

a fault tolerant, network distributed file system

## 10.6 TFS ##

[http://tfs.taobao.org/][http_tfs.taobao.org]

## 10.7 GlusterFS ##

[http://www.gluster.org/][http_www.gluster.org]

GlusterFS:异地备份（Geo-replication）源码分析

[http://blog.chinaunix.net/uid-22166872-id-4392777.html][http_blog.chinaunix.net_uid-22166872-id-4392777.html]

Gluster Geo-replication工作原理\[转载\]

[http://blog.163.com/szy8706@yeah/blog/static/62713185201363163131800/][http_blog.163.com_szy8706_yeah_blog_static_62713185201363163131800]

[http://disclu.blogspot.com/2012/11/gluster-geo-replication.html][http_disclu.blogspot.com_2012_11_gluster-geo-replication.html]

## 10.8 kosmosfs ##

[http://code.google.com/p/kosmosfs/][http_code.google.com_p_kosmosfs]

# 11 In-Memory 存储 #

## 11.1 Redis cluster ##

## 11.2 Mysql cluster ##

## 11.3 Gemfire/Gemde ##

## 11.4 VoltDB ##

[http://voltdb.com/][http_voltdb.com]

内存数据库

# 12 私有存储 #

## 12.1 Amazon ##

### 12.1.1 Amazon Dynamo ###

Key-value

[http://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf][http_www.allthingsdistributed.com_files_amazon-dynamo-sosp2007.pdf]

Amazon’s Dynamo paper

Merkle trees

Gossiping of membership

Gossiped synchronization of partitions

## 12.2 Google ##

### 12.2.1 BigTable ###

Bigtable: A Distributed Storage System for Structured Data

[http://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf][http_static.googleusercontent.com_media_research.google.com_en_archive_bigtable-osdi06.pdf]

### 12.2.2 F1 ###

F1: A Distributed SQL Database That Scales

[http://research.google.com/pubs/pub41344.html][http_research.google.com_pubs_pub41344.html]

[http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41344.pdf][http_static.googleusercontent.com_media_research.google.com_en_pubs_archive_41344.pdf]

### 12.2.3 Spanner ###

[http://research.google.com/archive/spanner.html][http_research.google.com_archive_spanner.html]

Spanner: Google’s Globally-Distributed Database

[http://static.googleusercontent.com/external\_content/untrusted\_dlcp/research.google.com/zh-CN//archive/spanner-osdi2012.pdf][http_static.googleusercontent.com_external_content_untrusted_dlcp_research.google.com_zh-CN_archive_spanner-osdi2012.pdf]

Exclusive: Inside Google Spanner, the Largest Single Database on Earth

[http://www.wired.com/2012/11/google-spanner-time/all/][http_www.wired.com_2012_11_google-spanner-time_all]

解析全球级分布式数据库Google Spanner

[http://www.csdn.net/article/2012-09-19/2810132-google-spanner-next-database-datacenter][http_www.csdn.net_article_2012-09-19_2810132-google-spanner-next-database-datacenter]

### 12.2.4 Megastore ###

Megastore: Providing Scalable, Highly Available Storage for Interactive Services

[https://research.google.com/pubs/pub36971.html][https_research.google.com_pubs_pub36971.html]

[https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36971.pdf][https_static.googleusercontent.com_media_research.google.com_en_pubs_archive_36971.pdf]

## 12.3 Baidu ##

### 12.3.1 Baidu Mola ###

Key-value

### 12.3.2 Baidu BDRP ###

### 12.3.3 Baidu DDBS ###

## 12.4 腾讯 ##

单机MySQL到NoSQL集群 腾讯存储进阶路

[http://tech.it168.com/a2017/0322/3105/000003105672.shtml][http_tech.it168.com_a2017_0322_3105_000003105672.shtml]

腾讯十多个人管理一万多台NoSQL存储服务器的秘密

[http://m.techweb.com.cn/article/2016-01-06/2253310.shtml][http_m.techweb.com.cn_article_2016-01-06_2253310.shtml]

### 12.4.1 腾讯CKV ###

腾讯CKV海量分布式存储系统

[http://www.csdn.net/article/2014-03-11/2818723][http_www.csdn.net_article_2014-03-11_2818723]

### 12.4.2 QuorumKV ###

微信PaxosStore内存云揭秘：十亿Paxos/分钟的挑战

[http://mp.weixin.qq.com/s?\_\_biz=MzI4NDMyNTU2Mw%3D%3D&mid=2247483804&idx=1&sn=a6629ebdaefbc2470c2ecbf12577daff][http_mp.weixin.qq.com_s_biz_MzI4NDMyNTU2Mw_3D_3D_mid_2247483804_idx_1_sn_a6629ebdaefbc2470c2ecbf12577daff]

## 12.6 京东 ##

### 12.6.1 京东JIMDB ###

解读JIMDB 京东分布式缓存与高速KV存储

[http://m.chinabyte.com/storage/463/13344963\_mi.shtml][http_m.chinabyte.com_storage_463_13344963_mi.shtml]

解读JIMDB 京东分布式缓存与高速KV存储

[http://m.it168.com/article\_1720792.html][http_m.it168.com_article_1720792.html]

## 12.7 滴滴 ##

### 12.7.1 滴滴Rockstable ###

滴滴高性能KV存储系统实践

[http://m.it168.com/article\_3091989.html][http_m.it168.com_article_3091989.html]

## 12.8 美团 ##

## 12.8.1 Cellar ##

基于tair研发的新一代KV存储服务

美团cellar讲座笔记

[http://blog.leanote.com/post/yuannight/cellar%E8%AE%B2%E5%BA%A7%E7%AC%94%E8%AE%B0][http_blog.leanote.com_post_yuannight_cellar_E8_AE_B2_E5_BA_A7_E7_AC_94_E8_AE_B0]

## 12.9 360 ##

### 12.9.1 360 Bada ###

Key-value

360自研分布式存储系统Bada的架构设计和应用

[http://www.chinacloud.cn/wap.aspx?cid=16&nid=21103][http_www.chinacloud.cn_wap.aspx_cid_16_nid_21103]

### 1.9.2 HustStore ###

[https://github.com/Qihoo360/huststore][https_github.com_Qihoo360_huststore]

HustStore 360高性能分布式存储服务

[http://www.oschina.net/p/huststore?fromerr=ug3CEPNP][http_www.oschina.net_p_huststore_fromerr_ug3CEPNP]

# 13 云产品 #

## 13.1 Amazon DynamoDB ##

## 13.2 AWS Aurora ##

[https://aws.amazon.com/cn/rds/aurora/][https_aws.amazon.com_cn_rds_aurora]

## 2.3 Google云 ##

## 2.4 阿里云 ##

## 2.5 美团云 ##

Mangix:分布式对象存储

Mangix: 美团云分布式对象存储系统

[http://docs.huihoo.com/infoq/qconbeijing/2016/day2/%E4%BA%91%E5%B9%B3%E5%8F%B0%E6%9E%B6%E6%9E%84%E4%B8%93%E9%A2%98/2-6-%E7%BE%8E%E5%9B%A2%E4%B8%87%E4%BA%BF%E7%BA%A7%E5%AF%B9%E8%B1%A1%E5%AD%98%E5%82%A8%E7%B3%BB%E7%BB%9F-%E6%9D%8E%E5%87%AF.pdf][http_docs.huihoo.com_infoq_qconbeijing_2016_day2_E4_BA_91_E5_B9_B3_E5_8F_B0_E6_9E_B6_E6_9E_84_E4_B8_93_E9_A2_98_2-6-_E7_BE_8E_E5_9B_A2_E4_B8_87_E4_BA_BF_E7_BA_A7_E5_AF_B9_E8_B1_A1_E5_AD_98_E5_82_A8_E7_B3_BB_E7_BB_9F-_E6_9D_8E_E5_87_AF.pdf]

[https_en.wikipedia.org_wiki_Dbm]: https://en.wikipedia.org/wiki/Dbm
[https_en.wikipedia.org_wiki_Berkeley_DB]: https://en.wikipedia.org/wiki/Berkeley_DB
[http_baike.baidu.com_view_1281930.htm]: http://baike.baidu.com/view/1281930.htm
[https_www.oracle.com_database_berkeley-db_db.html]: https://www.oracle.com/database/berkeley-db/db.html
[http_www.oracle.com_technetwork_database_database-technologies_berkeleydb_overview_index.html]: http://www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html
[https_symas.com_products_lightning-memory-mapped-database]: https://symas.com/products/lightning-memory-mapped-database/
[https_github.com_LMDB_lmdb]: https://github.com/LMDB/lmdb
[http_www.lmdb.tech_doc]: http://www.lmdb.tech/doc/
[https_github.com_boltdb]: https://github.com/boltdb
[https_github.com_boltdb_bolt]: https://github.com/boltdb/bolt
[https_github.com_google_leveldb]: https://github.com/google/leveldb
[http_rocksdb.org]: http://rocksdb.org/
[https_github.com_facebook_rocksdb]: https://github.com/facebook/rocksdb/
[https_github.com_syndtr_goleveldb]: https://github.com/syndtr/goleveldb
[https_github.com_tecbot_gorocksdb]: https://github.com/tecbot/gorocksdb
[https_github.com_jmhodges_levigo]: https://github.com/jmhodges/levigo
[https_github.com_mongodb-partners_mongo-rocks]: https://github.com/mongodb-partners/mongo-rocks
[https_github.com_basho_bitcask]: https://github.com/basho/bitcask
[http_blog.chinaunix.net_uid-20196318-id-154750.html]: http://blog.chinaunix.net/uid-20196318-id-154750.html
[http_blog.csdn.net_qq910894904_article_details_37756377]: http://blog.csdn.net/qq910894904/article/details/37756377
[https_github.com_percona_PerconaFT]: https://github.com/percona/PerconaFT
[https_www.percona.com_doc_percona-server-for-mongodb_perconaft.html]: https://www.percona.com/doc/percona-server-for-mongodb/perconaft.html
[https_github.com_percona_PerconaFT_wiki]: https://github.com/percona/PerconaFT/wiki
[http_www.fxysw.com_thread-5061-1-1.html]: http://www.fxysw.com/thread-5061-1-1.html
[https_en.wikipedia.org_wiki_Fractal_tree_index]: https://en.wikipedia.org/wiki/Fractal_tree_index
[http_www.cnblogs.com_chaosheng_p_5250037.html]: http://www.cnblogs.com/chaosheng/p/5250037.html
[http_sourceforge.net_projects_qdbm]: http://sourceforge.net/projects/qdbm/
[http_qdbm.sourceforge.net]: http://qdbm.sourceforge.net/
[http_qdbm.sourceforge.net_benchmark.pdf]: http://qdbm.sourceforge.net/benchmark.pdf
[https_en.wikipedia.org_wiki_Ndbm]: https://en.wikipedia.org/wiki/Ndbm
[http_infolab.stanford.edu_ullman_dbsi_win98_ndbm.html]: http://infolab.stanford.edu/~ullman/dbsi/win98/ndbm.html
[https_github.com_davidar_sdbm]: https://github.com/davidar/sdbm
[http_www.cse.yorku.ca_oz_sdbm.bun]: http://www.cse.yorku.ca/~oz/sdbm.bun
[http_www.gnu.org.ua_software_gdbm]: http://www.gnu.org.ua/software/gdbm/
[http_sourceforge.net_projects_tdb]: http://sourceforge.net/projects/tdb/
[http_tdb.sourceforge.net]: http://tdb.sourceforge.net/
[http_cr.yp.to_cdb.html]: http://cr.yp.to/cdb.html
[http_www.corpit.ru_mjt_tinycdb.html]: http://www.corpit.ru/mjt/tinycdb.html
[https_github.com_wiredtiger_wiredtiger]: https://github.com/wiredtiger/wiredtiger
[http_www.wiredtiger.com]: http://www.wiredtiger.com/
[http_source.wiredtiger.com_2.8.0_architecture.html_cache]: http://source.wiredtiger.com/2.8.0/architecture.html#cache
[http_baike.baidu.com_view_2640411.htm]: http://baike.baidu.com/view/2640411.htm
[http_fallabs.com_tokyocabinet]: http://fallabs.com/tokyocabinet/
[https_en.wikipedia.org_wiki_Tokyo_Cabinet_and_Kyoto_Cabinet]: https://en.wikipedia.org/wiki/Tokyo_Cabinet_and_Kyoto_Cabinet
[http_raptordbkv.codeplex.com]: http://raptordbkv.codeplex.com/
[http_www.codeproject.com_Articles_190504_RaptorDB]: http://www.codeproject.com/Articles/190504/RaptorDB
[http_www.codeproject.com_Articles_316816_RaptorDB-The-Key-Value-Store-V]: http://www.codeproject.com/Articles/316816/RaptorDB-The-Key-Value-Store-V
[http_www.oschina.net_p_innodb]: http://www.oschina.net/p/innodb/
[http_baike.baidu.com_view_1238935.htm]: http://baike.baidu.com/view/1238935.htm
[https_en.wikipedia.org_wiki_InnoDB]: https://en.wikipedia.org/wiki/InnoDB
[http_raptordb.codeplex.com]: http://raptordb.codeplex.com/
[http_www.codeproject.com_Articles_375413_RaptorDB-the-Document-Store]: http://www.codeproject.com/Articles/375413/RaptorDB-the-Document-Store
[https_en.wikipedia.org_wiki_Embedded_database]: https://en.wikipedia.org/wiki/Embedded_database
[https_en.wikipedia.org_wiki_SQLite]: https://en.wikipedia.org/wiki/SQLite
[http_www.evget.com_article_2014_11_21_21843.html]: http://www.evget.com/article/2014/11/21/21843.html
[https_blitiri.com.ar_p_nmdb]: https://blitiri.com.ar/p/nmdb/
[http_memcachedb.org]: http://memcachedb.org/
[http_memcachedb.org_memcachedb-guide-1.0.pdf]: http://memcachedb.org/memcachedb-guide-1.0.pdf
[http_fallabs.com_kyototycoon]: http://fallabs.com/kyototycoon/
[http_code.google.com_p_thrudb]: http://code.google.com/p/thrudb/
[https_github.com_ideawu_ssdb]: https://github.com/ideawu/ssdb
[http_ssdb.io_zh_cn]: http://ssdb.io/zh_cn/
[http_ssdb.io_docs_replication.html]: http://ssdb.io/docs/replication.html
[http_ssdb.io_docs_config.html]: http://ssdb.io/docs/config.html
[https_github.com_ideawu_ssdb_blob_master_ssdb.conf]: https://github.com/ideawu/ssdb/blob/master/ssdb.conf
[https_github.com_ideawu_ssdb-rocks]: https://github.com/ideawu/ssdb-rocks
[https_github.com_yinqiwen_ardb]: https://github.com/yinqiwen/ardb
[http_yinqiwen.github.io_ardb_2014_08_23_ardbintroduction]: http://yinqiwen.github.io/ardb/2014/08/23/ardbintroduction/
[https_github.com_reborndb_qdb]: https://github.com/reborndb/qdb
[https_github.com_Qihoo360_pika]: https://github.com/Qihoo360/pika
[http_git.oschina.net_baotiao_pika]: http://git.oschina.net/baotiao/pika
[http_www.jianshu.com_p_d4f23120cbe4]: http://www.jianshu.com/p/d4f23120cbe4
[https_mp.weixin.qq.com_s_biz_MzAwMDU1MTE1OQ_mid_2653547160_idx_1_sn_befd195e2aa788775aaf1cc3b6f6fab3_scene_1_srcid_0512FqLKcLjVNH0zbKVlVBSO_key_b28b03434249256b1da1489d74564ea1a9d5b15207160026adc2a6ce0622b47c084d23b75e909dfe14f6173662cbdf5b_ascene_0_uin_MjMxMzM3NjIyMw_3D_3D_devicetype_iMac_MacBookPro12_2C1_OSX_OSX_10.11.4_build_15E65_version_11020201_pass_ticket_WU1aAnx4aVkuID0Quq0HGuKNQB68CvjQzaTnnIhjJFZwLcPqGk1zilYX4uRvF9sd]: https://mp.weixin.qq.com/s?__biz=MzAwMDU1MTE1OQ==&mid=2653547160&idx=1&sn=befd195e2aa788775aaf1cc3b6f6fab3&scene=1&srcid=0512FqLKcLjVNH0zbKVlVBSO&key=b28b03434249256b1da1489d74564ea1a9d5b15207160026adc2a6ce0622b47c084d23b75e909dfe14f6173662cbdf5b&ascene=0&uin=MjMxMzM3NjIyMw%3D%3D&devicetype=iMac+MacBookPro12%2C1+OSX+OSX+10.11.4+build%2815E65%29&version=11020201&pass_ticket=WU1aAnx4aVkuID0Quq0HGuKNQB68CvjQzaTnnIhjJFZwLcPqGk1zilYX4uRvF9sd
[https_media.weibo.cn_article_id_2309403974295628970629]: https://media.weibo.cn/article?id=2309403974295628970629
[http_ledisdb.com]: http://ledisdb.com/
[https_github.com_siddontang_ledisdb]: https://github.com/siddontang/ledisdb
[http_www.sisodb.com]: http://www.sisodb.com/
[https_github.com_basho_innostore]: https://github.com/basho/innostore
[http_www.oschina.net_p_twemproxy]: http://www.oschina.net/p/twemproxy
[https_github.com_twitter_twemproxy]: https://github.com/twitter/twemproxy
[https_github.com_reborndb]: https://github.com/reborndb
[https_github.com_reborndb_reborn_blob_master_doc_tutorial_zh.md]: https://github.com/reborndb/reborn/blob/master/doc/tutorial_zh.md
[http_www.oschina.net_p_codis]: http://www.oschina.net/p/codis
[https_github.com_wandoulabs_codis]: https://github.com/wandoulabs/codis
[https_github.com_CodisLabs_codis]: https://github.com/CodisLabs/codis
[https_github.com_Netflix_dynomite]: https://github.com/Netflix/dynomite
[http_www.infoq.com_cn_news_2014_11_dynomite-netflix-dynamo]: http://www.infoq.com/cn/news/2014/11/dynomite-netflix-dynamo
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[http_www.objectivity.com_products_infinitegraph]: http://www.objectivity.com/products/infinitegraph/
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[http_code.google.com_p_kosmosfs]: http://code.google.com/p/kosmosfs/
[http_voltdb.com]: http://voltdb.com/
[http_www.allthingsdistributed.com_files_amazon-dynamo-sosp2007.pdf]: http://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf
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[http_www.wired.com_2012_11_google-spanner-time_all]: http://www.wired.com/2012/11/google-spanner-time/all/
[http_www.csdn.net_article_2012-09-19_2810132-google-spanner-next-database-datacenter]: http://www.csdn.net/article/2012-09-19/2810132-google-spanner-next-database-datacenter
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