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DBMS > Atos Standard Common Repository vs. CockroachDB vs. HyperSQL vs. Postgres-XL vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. CockroachDB vs. HyperSQL vs. Postgres-XL vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCockroachDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cockroachlabs.comhsqldb.orgwww.postgres-xl.org
Technical documentationwww.cockroachlabs.com/­docshsqldb.org/­web/­hsqlDocsFrame.htmlwww.postgres-xl.org/­documentation
DeveloperAtos Convergence CreatorsCockroach LabsTeradata
Initial release2016201520012014 infosince 2012, originally named StormDB2005
Current release170323.1.1, May 20232.7.2, June 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infobased on BSD licenseOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC
Server operating systemsLinuxLinux
macOS
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsdynamic schemayesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnonoyes infoXML type, but no XML query functionalityyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyesyes infodistributed, parallel query executionyes
APIs and other access methodsLDAPJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoJava, SQLuser defined functionsR packages
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnono
User concepts infoAccess controlLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryCockroachDBHyperSQL infoalso known as HSQLDBPostgres-XLTeradata Aster
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