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DBMS > BigchainDB vs. CouchDB vs. Datomic vs. H2 vs. HyperSQL

System Properties Comparison BigchainDB vs. CouchDB vs. Datomic vs. H2 vs. HyperSQL

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelDocument storeDocument storeRelational DBMSRelational 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitewww.bigchaindb.comcouchdb.apache.orgwww.datomic.comwww.h2database.comhsqldb.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stabledocs.datomic.comwww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectThomas Mueller
Initial release20162005201220052001
Current release3.3.3, December 20231.0.7075, December 20232.2.220, July 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache version 2commercial infolimited edition freeOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlangJava, ClojureJavaJava
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nonononono
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
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
Clojure
Java
JavaAll languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoTransaction FunctionsJava Stored Procedures and User-Defined FunctionsJava, SQL
TriggersyesBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlyesAccess rights for users can be defined per databasenofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicH2HyperSQL infoalso known as HSQLDB
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