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DBMS > Geode vs. Kdb vs. Kinetica vs. SpaceTime vs. Teradata Aster

System Properties Comparison Geode vs. Kdb vs. Kinetica vs. SpaceTime vs. Teradata Aster

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  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.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitegeode.apache.orgkx.comwww.kinetica.comwww.mireo.com/­spacetime
Technical documentationgeode.apache.org/­docscode.kx.comdocs.kinetica.com
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Kx Systems, a division of First Derivatives plcKineticaMireoTeradata
Initial release20022000 infokdb was released 2000, kdb+ in 2003201220202005
Current release1.1, February 20173.6, May 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree 32-bit versioncommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC, C++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemeschema-freeyesyesyesFlexible 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 dateyesyesyesyesyes
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.noyesnonoyes infoin Aster File Store
Secondary indexesnoyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query language (q)SQL-like DML and DDL statementsA subset of ANSI SQL is implementedyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C#
C++
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functionsnoR packages
Triggersyes infoCache Event Listenersyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingFixed-grid hypercubesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationReal-time block device replication (DRBD)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 methodsnono infosimilar paradigm used for internal processingnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights per client and object definablerights management via user accountsAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GeodeKdbKineticaSpaceTimeTeradata Aster
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GeodeKdbKineticaSpaceTimeTeradata Aster
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