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DBMS > Atos Standard Common Repository vs. Datomic vs. HEAVY.AI

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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 durabilityA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.datomic.comdocs.heavy.ai
DeveloperAtos Convergence CreatorsCognitectHEAVY.AI, Inc.
Initial release201620122016
Current release17031.0.6735, June 20235.10, January 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureC++ and CUDA
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsLDAPRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages with LDAP bindingsClojure
Java
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDatomicHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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