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DBMS > Datomic vs. Kinetica vs. Quasardb vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Kinetica vs. Quasardb vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comwww.kinetica.comquasar.aiwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comdocs.kinetica.comdoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectKineticaquasardbSAP infoformerly Sybase
Initial release2012201220091992
Current release1.0.6735, June 20237.1, August 20213.14.1, January 202417, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, C++C++
Server operating systemsAll OS with a Java VMLinuxBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononoyes
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoGPU vRAM or System RAMyes infoTransient modeyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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DatomicKineticaQuasardbSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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