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DBMS > Atos Standard Common Repository vs. Datomic vs. Graphite vs. IBM Db2 warehouse vs. PostgreSQL

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Graphite vs. IBM Db2 warehouse vs. PostgreSQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPostgreSQL  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperCloud-based data warehousing serviceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comgithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2/­warehousewww.postgresql.org
Technical documentationdocs.datomic.comgraphite.readthedocs.iowww.postgresql.org/­docs
DeveloperAtos Convergence CreatorsCognitectChris DavisIBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162012200620141989 info1989: Postgres, 1996: PostgreSQL
Current release17031.0.7075, December 202316.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
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Implementation languageJavaJava, ClojurePythonC
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesNumeric data onlyyesyes
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 infoImport/export of XML data possibleyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyesyes infostandard with numerous extensions
APIs and other access methodsLDAPRESTful HTTP APIHTTP API
Sockets
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsClojure
Java
JavaScript (Node.js)
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsnoPL/SQL, SQL PLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersyesBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnoneyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlLDAP bind authenticationnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDatomicGraphiteIBM Db2 warehouse infoformerly named IBM dashDBPostgreSQL
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