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DBMS > Atos Standard Common Repository vs. Hazelcast vs. HyperSQL vs. jBASE vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. HyperSQL vs. jBASE vs. Postgres-XL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonjBASE  Xexclude from comparisonPostgres-XL  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 networksA widely adopted in-memory data gridMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA robust multi-value DBMS comprising development tools and middlewareBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comhsqldb.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.postgres-xl.org
Technical documentationhazelcast.org/­imdg/­docshsqldb.org/­web/­hsqlDocsFrame.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.postgres-xl.org/­documentation
DeveloperAtos Convergence CreatorsHazelcastRocket Software (formerly Zumasys)
Initial release20162008200119912014 infosince 2012, originally named StormDB
Current release17035.3.6, November 20232.7.2, June 20235.710 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infobased on BSD licensecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Linux
Windows
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesoptionalyes
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.yesyes infothe object must implement a serialization strategynoyesyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesEmbedded SQL for jBASE in BASICyes infodistributed, parallel query execution
APIs and other access methodsLDAPJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC
Java
.Net
Basic
Jabbascript
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesJava, SQLyesuser defined functions
Triggersyesyes infoEventsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedACIDACIDACID infoMVCC
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.yesyesyesyesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHazelcastHyperSQL infoalso known as HSQLDBjBASEPostgres-XL
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