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DBMS > BigchainDB vs. CouchDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. PouchDB

System Properties Comparison BigchainDB vs. CouchDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. PouchDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPouchDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering with high compatibility to Microsoft SQL ServerJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument storeDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Graph DBMS
Spatial 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
Score4.36
Rank#72  Overall
#12  Document stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.bigchaindb.comcouchdb.apache.orgcloud.google.com/­datastoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasepouchdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleMicrosoftApache Software Foundation
Initial release20162005200820102012
Current release3.3.3, December 2023V127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonErlangC++JavaScript
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyes, details hereyesno
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.nononoyesno
Secondary indexesyes infovia viewsyesyesyes infovia views
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptusing Google App EngineTransact SQLView functions in JavaScript
TriggersyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0ShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication using Paxosyes, with always 3 replicas availableMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standardno

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More resources
BigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud DatastoreMicrosoft Azure SQL Database infoformerly SQL AzurePouchDB
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