Source
http://db-engines.com/en/system/HBase%3BMemcached%3BRedis%3BSolr
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Name
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HBase
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Memcached
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MongoDB
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Redis
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Solr
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Description
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Wide-column store based on Apache Hadoop and on concepts of
BigTable
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In-memory key-value store, originally intended for caching
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One of the most popular document stores
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In-memory database with configurable options performance vs.
persistency
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A widely usedenterprise search engine based onApache
Lucene
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Developer
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Apache Software Foundation
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Danga Interactive
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MongoDB, Inc
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Salvatore Sanfilippo
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Apache Software Foundation
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Initial release
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2008
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2003
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2009
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2009
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2004
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License
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Open Source
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Open Source
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Open Source
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Open Source
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Open Source
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Implementation language
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Java
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C
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C++
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C
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Java
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Server operating systems
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Linux
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Linux
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Linux
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Linux
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All OS with a Java VM and a servlet container
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Unix
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Unix
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OS X
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OS X
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Windows
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Windows
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Windows
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Windows
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FreeBSD
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Solaris
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BSD
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Database model
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Wide column store
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Key-value store
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Document store
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Key-value store
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Search engine
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Data scheme
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schema-free
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schema-free
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schema-free
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schema-free
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yes
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Typing
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no
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no
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yes
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no
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yes
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Secondary indexes
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no
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no
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yes
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no
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yes
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SQL
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no
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no
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no
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no
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no
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APIs and other access methods
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Java API
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Proprietary protocol
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proprietary protocol using JSON
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proprietary protocol
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Java API
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RESTful HTTP API
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RESTful HTTP API
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Thrift
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Supported programming languages
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C
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C
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C
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C
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C#
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.Net
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C#
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C#
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.Net
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C++
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C++
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C++
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C++
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Groovy
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ColdFusion
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Groovy
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Clojure
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Java
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Java
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Java
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Java
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Java
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Erlang
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Erlang
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Erlang
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Erlang
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Python
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Python
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Python
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Python
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Python
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Scala
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Lua
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Scala
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Scala
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Scala
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Ruby
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Ruby
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Ruby
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Ruby
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PHP
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PHP
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PHP
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PHP
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PHP
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JavaScript
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JavaScript
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JavaScript
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Perl
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Perl
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Perl
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Perl
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OCaml
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Lua
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Lua
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any language that
supports sockets and either XML or JSON
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Lisp
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Lisp
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Lisp
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Dart
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Dart
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ColdFusion
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Go
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Go
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Actionscript
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Objective-C
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Haskell
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Haskell
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Smalltalk
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Smalltalk
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Clojure
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Tcl
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MatLab
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PowerShell
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Prolog
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Server-side scripts
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yes
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no
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JavaScript
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Lua
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Java plugins
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Triggers
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yes
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no
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no
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no
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no
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Partitioning methods
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Sharding
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none
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Sharding
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none
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Sharding
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Replication methods
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selectable replication factor
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none
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Master-slave replication
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Master-slave replication
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cloud/distributed (via Zookeeper)
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Master-slave replication
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MapReduce
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yes
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no
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yes
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no
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no
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Consistency concepts
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Immediate Consistency
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Eventual Consistency
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Eventual Consistency
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Immediate Consistency
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Foreign keys
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no
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no
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no
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no
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no
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Transaction concepts
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no
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no
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no
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optimistic locking
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optimistic locking
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Concurrency
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yes
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yes
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yes
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yes
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yes
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Durability
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yes
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no
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yes
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yes
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yes
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User concepts
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Access Control Lists (ACL)
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yes
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Users can be defined with full access or read-only access
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very simple password-based access control
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Specific characteristics
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Redis very much emphasize performance. In any design decisions
performance has priority over features or memory requirements.
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Architecture: Lives in web stack, ships by default with Jetty.
Connectors, JDBC, multiple languages, true morphological CJK, binary document
filters (Tika), Entity Extraction (UIMA)
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Typical application scenarios
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Mostly used for caching
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Applications that can hold all data in memory, and that have
high performance requirements.
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