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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Elasticsearch vs. H2 vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Elasticsearch vs. H2 vs. Sequoiadb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonH2  Xexclude from comparisonSequoiadb  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 assetsA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.NewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Document storeSearch engineRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.elastic.co/­elasticsearchwww.h2database.comwww.sequoiadb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.h2database.com/­html/­main.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAtos Convergence CreatorsElasticThomas MuellerSequoiadb Ltd.
Initial release20162016201020052013
Current release17038.6, January 20232.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoElastic LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJavaJavaC++
Server operating systemsLinuxLinuxAll OS with a Java VMAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyesyes infooid, date, timestamp, binary, regex
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.yesnononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesSQL-like query language
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined FunctionsJavaScript
Triggersyesyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesno
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardsimple password-based access control

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More resources
Atos Standard Common RepositoryBigchainDBElasticsearchH2Sequoiadb
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