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DBMS > CouchDB vs. Hypertable vs. JanusGraph vs. MySQL

System Properties Comparison CouchDB vs. Hypertable vs. JanusGraph vs. MySQL

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHypertable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMySQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.An open source BigTable implementation based on distributed file systems such as HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMS
Primary database modelDocument storeWide column storeGraph DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.79
Rank#40  Overall
#6  Document stores
Score2.52
Rank#110  Overall
#7  Graph DBMS
Score1219.77
Rank#2  Overall
#2  Relational DBMS
Websitecouchdb.apache.orgjanusgraph.orgwww.mysql.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.janusgraph.orgdev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHypertable Inc.Linux Foundation; originally developed as Titan by AureliusOracle infosince 2010, originally MySQL AB, then Sun
Initial release2005200920171995
Current release3.1.1, September 20200.9.8.11, March 20160.6.0, September 20218.0.26, July 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaC and C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyes
Secondary indexesyes infovia viewsrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIC++ API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptnoyesyes infoproprietary syntax
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or roles

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