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DBMS > Atos Standard Common Repository vs. Datomic vs. Derby vs. Microsoft SQL Server vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Derby vs. Microsoft SQL Server vs. SpaceTime

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpaceTime  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 durabilityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Microsofts flagship relational DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comdb.apache.org/­derbywww.microsoft.com/­en-us/­sql-serverwww.mireo.com/­spacetime
Technical documentationdocs.datomic.comdb.apache.org/­derby/­manuals/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAtos Convergence CreatorsCognitectApache Software FoundationMicrosoftMireo
Initial release20162012199719892020
Current release17031.0.7075, December 202310.17.1.0, November 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJavaC++C++
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMLinux
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnoyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnonoyesyesA subset of ANSI SQL is implemented
APIs and other access methodsLDAPRESTful HTTP APIJDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsClojure
Java
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Python
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsJava Stored ProceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
TriggersyesBy using transaction functionsyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersnonetables can be distributed across several files (horizontal partitioning); sharding through federationFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersSource-replica replicationyes, but depending on the SQL-Server EditionReal-time block device replication (DRBD)
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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 developmentyesyesno
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
Atos Standard Common RepositoryDatomicDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMicrosoft SQL ServerSpaceTime
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