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DBMS > Atos Standard Common Repository vs. BigchainDB vs. HyperSQL vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. HyperSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSpark SQL  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 assetsMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comhsqldb.orgspark.apache.org/­sql
Technical documentationbigchaindb.readthedocs.io/­en/­latesthsqldb.org/­web/­hsqlDocsFrame.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsApache Software Foundation
Initial release2016201620012014
Current release17032.7.2, June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaScala
Server operating systemsLinuxLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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 indexesyesyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, SQLno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryBigchainDBHyperSQL infoalso known as HSQLDBSpark SQL
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