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DBMS > BigchainDB vs. CouchDB vs. Google Cloud Spanner vs. Linter

System Properties Comparison BigchainDB vs. CouchDB vs. Google Cloud Spanner vs. Linter

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.RDBMS for high security requirements
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score8.30
Rank#47  Overall
#7  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitewww.bigchaindb.comcouchdb.apache.orgcloud.google.com/­spannerlinter.ru
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stablecloud.google.com/­spanner/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGooglerelex.ru
Initial release2016200520171990
Current release3.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlangC and C++
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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.nononono
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesAccess rights for users can be defined per databaseAccess 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
BigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud SpannerLinter
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