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DBMS > Kinetica vs. SWC-DB vs. Teradata Aster

System Properties Comparison Kinetica vs. SWC-DB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFully vectorized database across both GPUs and CPUsA high performance, scalable Wide Column DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Websitewww.kinetica.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.kinetica.com
DeveloperKineticaAlex KashirinTeradata
Initial release201220202005
Current release7.1, August 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3commercial
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 languageC, C++C++
Server operating systemsLinuxLinuxLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes
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.nonoyes infoin Aster File Store
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoR packages
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
KineticaSWC-DB infoSuper Wide Column DatabaseTeradata Aster
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