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DBMS > Ehcache vs. etcd vs. MarkLogic vs. Riak KV

System Properties Comparison Ehcache vs. etcd vs. MarkLogic vs. Riak KV

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonetcd  Xexclude from comparisonMarkLogic  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeOperational and transactional Enterprise NoSQL databaseDistributed, fault tolerant key-value store
Primary database modelKey-value storeKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
www.marklogic.com
Technical documentationwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperTerracotta Inc, owned by Software AGMarkLogic Corp.OpenSource, formerly Basho Technologies
Initial release200920012009
Current release3.10.0, March 20223.4, August 201911.0, December 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Erlang
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesnoyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesnonoyesrestricted
SQL infoSupport of SQLnonoyes infoSQL92no
APIs and other access methodsJCachegRPC
JSON over HTTP
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP API
Native Erlang Interface
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptErlang
Triggersyes infoCache Event Listenersyes, watching key changesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexes
User concepts infoAccess controlnonoRole-based access control at the document and subdocument levelsyes, using Riak Security

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EhcacheetcdMarkLogicRiak KV
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