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DBMS > GigaSpaces vs. Kinetica vs. searchxml vs. SpaceTime vs. TerarkDB

System Properties Comparison GigaSpaces vs. Kinetica vs. searchxml vs. SpaceTime vs. TerarkDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparisonSpaceTime  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application serverSpaceTime is a spatio-temporal DBMS with a focus on performance.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSNative XML DBMS
Search engine
Spatial DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.gigaspaces.comwww.kinetica.comwww.searchxml.net/­category/­productswww.mireo.com/­spacetimegithub.com/­bytedance/­terarkdb
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.kinetica.comwww.searchxml.net/­support/­handoutsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGigaspaces TechnologiesKineticainformationpartners gmbhMireoByteDance, originally Terark
Initial release20002012201520202016
Current release15.5, September 20207.1, August 20211.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialcommercialcommercial inforestricted open source version available
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 languageJava, C++, .NetC, C++C++C++C++
Server operating systemsLinux
macOS
Solaris
Windows
LinuxWindowsLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.no infoXML can be used for describing objects metadatanoyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like DML and DDL statementsnoA subset of ANSI SQL is implementedno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP APIC++ API
Java API
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC#
C++
Python
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsyes infoon the application servernono
Triggersyes, event driven architectureyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes infosychronisation to multiple collectionsReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writernono
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.yesyes infoGPU vRAM or System RAMnonoyes
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicesyesno

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More resources
GigaSpacesKineticasearchxmlSpaceTimeTerarkDB
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