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DBMS > CouchDB vs. EsgynDB vs. Google Cloud Bigtable vs. IBM Db2

System Properties Comparison CouchDB vs. EsgynDB vs. Google Cloud Bigtable vs. IBM Db2

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelDocument storeRelational DBMSWide column storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.79
Rank#40  Overall
#6  Document stores
Score0.24
Rank#279  Overall
#128  Relational DBMS
Score3.64
Rank#91  Overall
#8  Wide column stores
Score165.96
Rank#7  Overall
#5  Relational DBMS
Websitecouchdb.apache.orgwww.esgyn.cncloud.google.com/­bigtablewww.ibm.com/­analytics/­db2
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigtable/­docswww.ibm.com/­support/­knowledgecenter/­SSEPGG
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerEsgynGoogleIBM
Initial release2005201520151983 infohost version
Current release3.1.1, September 202012.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial infofree version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nonono
Secondary indexesyes infovia viewsyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresView functions in JavaScriptJava Stored Proceduresnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"EsgynDBGoogle Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2
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