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DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Hazelcast vs. Yaacomo

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHazelcast  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A widely adopted in-memory data gridOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comhazelcast.comyaacomo.com
Technical documentationwww.postgresql.fastware.com/­product-manualshazelcast.org/­imdg/­docs
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHazelcastQ2WEB GmbH
Initial release201620082009
Current release1703Fujitsu Enterprise Postgres 14, January 20225.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemsLinuxLinux
Windows
All OS with a Java VMAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infoEvent Listeners, Executor Services
Triggersyesyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and by hashShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
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 authenticationfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryFujitsu Enterprise PostgresHazelcastYaacomo
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Atos Standard Common RepositoryFujitsu Enterprise PostgresHazelcastYaacomo
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