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DBMS > Atos Standard Common Repository vs. Datomic vs. NSDb vs. Transwarp StellarDB

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. NSDb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonTranswarp StellarDB  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 durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comnsdb.iowww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.datomic.comnsdb.io/­Architecture
DeveloperAtos Convergence CreatorsCognitectTranswarp
Initial release201620122017
Current release17031.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
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, ClojureJava, Scala
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Data schemeSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateoptionalyesyes: int, bigint, decimal, string
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 indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsLDAPRESTful HTTP APIgRPC
HTTP REST
WebSocket
OpenCypher
Supported programming languagesAll languages with LDAP bindingsClojure
Java
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno
TriggersyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peers
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 ConsistencyEventual 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyes
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 development
User concepts infoAccess controlLDAP bind authenticationnoyes

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More resources
Atos Standard Common RepositoryDatomicNSDbTranswarp StellarDB
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