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SQL数据库的终结?

| 2012-02-21 13:32      

第二部分

你想象不到,如今竟然有了那么多开源的/非开源的NoSQL数据库产品。而同时,每天都有新的品种出现。如果我的列举中遗漏了你喜爱的NoSQL数据库,请发评论告诉我。下面你将看到的就是各种不同类型的NoSQL数据库产品:面向文档的,面向集合的,面向列的,面向对象的,面向图的,面向有序集合的,面向行的,等等。

AllegroGraph

公司/组织: Franz Inc.
类型: Graph
简介: Modern, high performance, persistent graph database.
存储方案: Disk based, meta-data and data triples.
API(s): SPARQL, Prolog

BerkleyDB

公司/组织: Oracle
类型: Key/Value
简介: C language embeddable library for enterprise-grade, concurrent,transactional storage services. Thread safe to avoid data corruption or loss
存储方案: B-tree, hash table, persistent queue
API(s): C, C++ and Java
备注: Use BerkleyDB XML layer on top of BerkleyDB for XML based applications. Comparison of BerkleyDB and relational databases

BigTable

公司/组织: Google
类型: Sparse, distributed, persistent multidimensional sorted map.
简介: Distributed storage system for structured data. Data model provides dynamic control over data layout and format. Data can live in memory or on disk.
存储方案: Data is stored as an uninterpreted array of bytes. Client applications can create structured and semi-structured data inside the byte arrays.
API(s): Python, GQL, Sawzall API, REST, various.
备注: Overview: Bigtable: A Distributed Storage System for Structured Data (PDF format)

Cassandra

公司/组织: Apache
类型: Dimensional hash table
简介: Highly scalable distributed database. Combines Dynamo’s distributed design and Bigtable’s column
family data model.
存储方案: Clusters of multiple keyspaces. The keyspace is a name space for column families. Columns are comprised of a name, value and timestamp.
API(s): Java, Ruby, perl, Python, C#, Thrift framework.
备注: Open sourced by Facebook in 2008. WikiFAQExamples

CouchDB

公司/组织: Apache
类型: Document
简介: Distributed database with incremental replication, bi-directional conflict detection and management.
存储方案: Ad-hoc and schema-free with a flat address space.
API(s): RESTful JSON API. JavaScript query language.
备注: CouchDB IntroductionTechnical
Overview

db4o

公司/组织: Versant
类型: Object
简介: Java and .NET dual license (commercial and open source) object database.
存储方案: Data objects are stored in the way they are defined in the application.
API(s): Java, .NET languages.
备注: db4o db4o database runtime engineabout db4o

Dovetaildb

公司/组织: Millstone Creative Works
类型: JSON-based
简介: Schemaless database similar to Amazon’s SimpleDB. Open source, standalone Java application server.
存储方案: JSON data format, “bags” (similar to tables).
API(s): HTTP and Javascript APIs
备注: Dovetaildb JavaScript API reference manual

Dynomite

公司/组织: Cliff Moon
类型: Key/Value
简介: Open source Amazon Dynamo clone written in Erlang.
存储方案: Distributed key/valve store, Pluggable storage engines.
API(s): Thrift API
备注: Dynomite Wiki

eXtreme
Scale

公司/组织: IBM
类型: In-memory grid/cache
简介: Distributed cache processes, partitions, replicates and manages data across servers.
存储方案: Data and database cache, “near cache” for local subset of data. Java persistent cache. Map reduce support.
API(s): Java APIs, REST data service
备注: eXtreme Scale Document library web site

GT.M

公司/组织: FIS
类型: Hierarchical, multi-dimensional sparse arrays, content associative memory
简介: Small footprint, multi-dimensional array with fill support for ACID transactions, optimistic concurrency and software transactional memory.
存储方案: Unstructured array of bytes. Can be Key/Value, document oriented, schema-less, dictionary or any other data model.
API(s): Mumps, C/C++, SQL
备注: GT.M FAQ

hamsterDB

公司/组织: Christoph Rupp
类型: Embedded storage library
简介: Lightweight embedded database engine. Supports on disk and in memory databases.
存储方案: B+tree with variable length keys.
API(s): C++, Python, .NET and Java
备注: hamsterdb FAQexamplestutorial

HBase

公司/组织: Apache
类型: Sparse, distributed, persistent multidimensional sorted map.
简介: Open source, distributed, column-oriented, “Bigtable like” store
存储方案: Data row has a sortable row key and an arbitrary number of columns, each containing arrays of bytes.
API(s): Java API, Thrift API, RESTful API
备注: Part of Apache Hadoop project. HBase WikiFAQ

Hypertable

公司/组织: Zvents Inc.
类型: Sparse, distributed, persistent multidimensional sorted map.
简介: High performance distributed data storage system designed to run on distributed filesystems (but can run on local filesystems). Modeled
after Google Bigtable.
存储方案: Row key (primary key), column family, column qualifier, time stamp.
API(s): C++, Thrift API, HQL
备注: Hypertable Architectural overviewFAQ

Infinispan

公司/组织: JBoss Community
类型: Grid/Cache
简介: Scalable, highly available, peer to peer, data grid platform.
存储方案: Key/Value pair with optional expiration lifespan.
API(s): Java, PHP, Python, Ruby, C
备注: Infinispan FAQWiki

InfoGrid

公司/组织:  
类型: Graph
简介: Internet graph database made up on nodes and edges. Supports in-memory and persistent storage alternatives including RDBMS, file system, file grid, and custom storage.
存储方案: Nodes (meshobjects) and edges (relationships). Meshobjects can have entity types, properties and participage in relationships. MeshObjects raise events.
API(s): RESTful web services.
备注: InfoGrid OverviewFAQ

Keyspace

公司/组织: Scalien
类型: Key/Value
简介: Distributed (master/slave) key-value data store delivering strong consistency, fault-tolerance and high availability.
存储方案: Uses BErkeleyDB library for For local storage. Key/Value pairs and their state are replicated to multiple servers.
API(s): C/C++, Python, PHP, HTTP
备注: Keyspace OverviewFAQ

MemcachedDB

公司/组织:  
类型: Key/Value
简介: High performance, high realiability persistent storage engine for key/value object storage.
存储方案: Uses BerkeleyDB as storage library/backend.
API(s): Memcache protocol, C, Python, Java, perl
备注: MemcacheDB complete
guide
 (PDF format)

Mnesia

公司/组织: Ericsson
类型: Key/Value
简介: Multiuser distributed database including support for replication and dynamic reconfiguration.
存储方案: Organized as a set of tables made up of Erlang records. Tables also have properties including type location, persistence, etc.
API(s): Erlang
备注: Mnesia Reference
manual

MongoDB

公司/组织: 10gen
类型: Document
简介: Scalable, high-performance, open source, schema-free, document-oriented database
存储方案: JSON-like data schemas, Dynamic queries, Indexing, replication, MapReduc
API(s): C,C++, Java, JavaScript, perl, PHP, Python, Ruby, C#, Erlang, Go, Groovy, Haskell, Scala, F#
备注: MongoDB Documentation Index

Neo4J

公司/组织: Neo Technology
类型: Graph
简介: Embedded, small footprint, disk based, transactional graph database written in Java. Dual license – free and commercial.
存储方案: Graph-oriented data model with nodes, relationships and properties.
API(s): Java, Python, Ruby, Scala, Groovy, PHP, RESTful API.
备注: Neo4J WikiAPIFAQ

Redis

公司/组织:  
类型: Key/Value
简介: Key/Value store with the dataset kept in memory and saved to disk asynchronously. “not just another key-value DB”
存储方案: Values can be strings, lists sets and sorted sets.
API(s): Python, Ruby, PHP, Erlang, Lua, C, C#, Java, Scala, perl
备注: Redis Wiki

SimpleDB

公司/组织: Amazon
类型: Item/Attribute/Value
简介: Scalable Web Service providing data storage, query and indexing in Amazon’s cloud.
存储方案: Items (like rows of data), Attributes (like column headers), and Values (can be multiple values)
API(s): SOAP, REST
备注: SimpleDB FAQGetting Started GuideDeveloper GuideAPI

Tokyo Cabinet

公司/组织: Mikio Hirabayashi
类型: Key/Value
简介: Library (written in C) of functions for managing files of key/value pairs. Multi-thread support.
存储方案: Keys and Values can have variable byte length. Binary data and strings can be used as a key and a value.
API(s): C, perl, Ruby, Java, Lua.
备注: Tokyo Cabinet Specificationspresentation(PDF format). Also available: Tokyo Tyrant (remote service), Tokyo Distopia (full text search), Tokyo Promenade (content management).

Voldemort

公司/组织: LinkedIn
类型: Hash Table
简介: “It is basically just a big, distributed, persistent, fault-tolerant hash table.” High performance and availability.
存储方案: Each key is unique to a store. Each key can have at most one value. Supported types: JSON, string, identity, protobuf, java-serialization.
API(s): Java, C++, custom clients
备注: Project Voldemort WikiClient
how-to

有如此多的非关系型数据库可选择真是一件好事。积累一些NoSQL相关的知识和初步体验能帮助管理人员、架构师、开发人员将所知道的关系型数据库的长处和短处跟NoSQL数据库进行对比。关系型数据库和SQL查询语言目前在各种数据库应用程序的设计、开发和管理过程中仍是主要元素和中枢系统。但当我们需要开始使用云数据库结构时,所有的我们了解的知识和收集的资料都能保证我们能迅速的进行迁移。这完全是根据用户和业务的需求,我们才能做出到底是使用现有的关系型数据库技术还是使用NoSQL进行替换。


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