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DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. IRONdb vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. IRONdb vs. TimesTen

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIRONdb  Xexclude from comparisonTimesTen  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded 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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comwww.circonus.com/solutions/time-series-database/www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.circonus.com/irondb/category/getting-starteddocs.oracle.com/­database/­timesten-18.1
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCirconus LLC.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201620171998
Current release1703Fujitsu Enterprise Postgres 14, January 2022V0.10.20, January 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemsLinuxLinux
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes infotext, numeric, histogramsyes
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsyes, in LuaPL/SQL
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and by hashAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryFujitsu Enterprise PostgresIRONdbTimesTen
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