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DBMS > GigaSpaces vs. Kinetica vs. RDF4J vs. SurrealDB

System Properties Comparison GigaSpaces vs. Kinetica vs. RDF4J vs. SurrealDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSurrealDB  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 CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRDF storeDocument store
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.gigaspaces.comwww.kinetica.comrdf4j.orgsurrealdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.kinetica.comrdf4j.org/­documentationsurrealdb.com/­docs
DeveloperGigaspaces TechnologiesKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SurrealDB Ltd
Initial release2000201220042022
Current release15.5, September 20207.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC, C++JavaRust
Server operating systemsLinux
macOS
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 metadatano
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyes, event driven architectureyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlRole-based access controlAccess rights for users and roles on table levelnoyes, based on authentication and database rules

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More resources
GigaSpacesKineticaRDF4J infoformerly known as SesameSurrealDB
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