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DBMS > Kinetica vs. Riak KV vs. TDSQL for MySQL vs. Teradata Aster

System Properties Comparison Kinetica vs. Riak KV vs. TDSQL for MySQL vs. Teradata Aster

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonTDSQL for MySQL  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 CPUsDistributed, fault tolerant key-value storeA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.kinetica.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tencentcloud.com/­document/­product/­1042
DeveloperKineticaOpenSource, formerly Basho TechnologiesTencentTeradata
Initial release2012200920132005
Current release7.1, August 20213.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Erlang
Server operating systemsLinuxLinux
OS X
hostedLinux
Data schemeyesschema-freeyesFlexible 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 dateyesnoyesyes
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 infoin Aster File Store
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsErlangyesR packages
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Automatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
yes 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 methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 levelyes, using Riak SecurityUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
KineticaRiak KVTDSQL for MySQLTeradata Aster
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