对比下HBase,Memcached,MongoDB,Redis和Solr

Name

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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.




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