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DBMS > Atos Standard Common Repository vs. Datomic vs. Kdb vs. Realm

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Kdb vs. Realm

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonKdb  Xexclude from comparisonRealm  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 durabilityHigh performance Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMS
Vector DBMS
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comkx.comrealm.io
Technical documentationdocs.datomic.comcode.kx.comrealm.io/­docs
DeveloperAtos Convergence CreatorsCognitectKx Systems, a division of First Derivatives plcRealm, acquired by MongoDB in May 2019
Initial release201620122000 infokdb was released 2000, kdb+ in 20032014
Current release17031.0.7075, December 20233.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infofree 32-bit versionOpen Source
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 languageJavaJava, Clojureq
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
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.yesnoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)no
APIs and other access methodsLDAPRESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages with LDAP bindingsClojure
Java
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsno inforuns within the applications so server-side scripts are unnecessary
TriggersyesBy using transaction functionsyes infowith viewsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peershorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
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)yesyes
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 developmentyesyes infoIn-Memory realm
User concepts infoAccess controlLDAP bind authenticationnorights management via user accountsyes
More information provided by the system vendor
Atos Standard Common RepositoryDatomicKdbRealm
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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Atos Standard Common RepositoryDatomicKdbRealm
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