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DBMS > Atos Standard Common Repository vs. BigchainDB vs. H2 vs. HarperDB vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. H2 vs. HarperDB vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Key-value store
Document storeRelational DBMSDocument storeRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.h2database.comwww.harperdb.iordf4j.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsThomas MuellerHarperDBSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162016200520172004
Current release17032.2.220, July 20233.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaNode.jsJava
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
OS X
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesdynamic schemayes infoRDF Schemas
Typing infopredefined data types such as float or dateoptionalnoyesyes infoJSON data typesyes
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like data manipulation statementsno
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1yes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDAtomic execution of specific operationsACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes, using LMDByes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
Atos Standard Common RepositoryBigchainDBH2HarperDBRDF4J infoformerly known as Sesame
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