HBase, Memcached, MongoDB, Redis和Solr对比

Name	HBase	Memcached	MongoDB	Redis	Solr
Description	Wide-column store based on Apache Hadoop and on concepts of BigTable	In-memory key-value store, originally intended for caching	One of the most popular document stores	In-memory database with configurable options performance vs. persistency	A widely usedenterprise search engine based onApache Lucene
Developer	Apache Software Foundation	Danga Interactive	MongoDB, Inc	Salvatore Sanfilippo	Apache Software Foundation
Initial release	2008	2003	2009	2009	2004
License	Open Source	Open Source	Open Source	Open Source	Open Source
Implementation language	Java	C	C++	C	Java
Server operating systems	Linux	Linux	Linux	Linux	All OS with a Java VM and a servlet container
	Unix	Unix
		OS X		OS X
	Windows	Windows	Windows	Windows
		FreeBSD	Solaris	BSD
Database model	Wide column store	Key-value store	Document store	Key-value store	Search engine
Data scheme	schema-free	schema-free	schema-free	schema-free	yes
Typing	no	no	yes	no	yes
Secondary indexes	no	no	yes	no	yes
SQL	no	no	no	no	no
APIs and other access methods	Java API	Proprietary protocol	proprietary protocol using JSON	proprietary protocol	Java API
	RESTful HTTP API				RESTful HTTP API
	Thrift
Supported programming languages	C	C	C	C
	C#	.Net	C#	C#	.Net
	C++	C++	C++	C++
	Groovy	ColdFusion	Groovy	Clojure
	Java	Java	Java	Java	Java
		Erlang	Erlang	Erlang	Erlang
	Python	Python	Python	Python	Python
	Scala	Lua	Scala	Scala	Scala
		Ruby	Ruby	Ruby	Ruby
	PHP	PHP	PHP	PHP	PHP
			JavaScript	JavaScript	JavaScript
		Perl	Perl	Perl	Perl
		OCaml	Lua	Lua	any language that supports sockets and either XML or JSON
		Lisp	Lisp	Lisp
			Dart	Dart
			ColdFusion
			Go	Go
			Actionscript	Objective-C
			Haskell	Haskell
			Smalltalk	Smalltalk
			Clojure	Tcl
			MatLab
			PowerShell
			Prolog
Server-side scripts	yes	no	JavaScript	Lua	Java plugins
Triggers	yes	no	no	no	no
Partitioning methods	Sharding	none	Sharding	none	Sharding
Replication methods	selectable replication factor	none	Master-slave replication	Master-slave replication	cloud/distributed (via Zookeeper)
					Master-slave replication
MapReduce	yes	no	yes	no	no
Consistency concepts	Immediate Consistency		Eventual Consistency		Eventual Consistency
			Immediate Consistency
Foreign keys	no	no	no	no	no
Transaction concepts	no	no	no	optimistic locking	optimistic locking
Concurrency	yes	yes	yes	yes	yes
Durability	yes	no	yes	yes	yes
User concepts	Access Control Lists (ACL)	yes	Users can be defined with full access or read-only access	very simple password-based access control
Specific characteristics				Redis very much emphasize performance. In any design decisions performance has priority over features or memory requirements.	Architecture: Lives in web stack, ships by default with Jetty. Connectors, JDBC, multiple languages, true morphological CJK, binary document filters (Tika), Entity Extraction (UIMA)
Typical application scenarios		Mostly used for caching		Applications that can hold all data in memory, and that have high performance requirements.