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DBMS > FeatureBase vs. GigaSpaces vs. OpenQM vs. RDF4J vs. TDSQL for MySQL

System Properties Comparison FeatureBase vs. GigaSpaces vs. OpenQM vs. RDF4J vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsQpenQM is a high-performance, self-tuning, multi-value DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A 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.
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Multivalue DBMSRDF storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitewww.featurebase.comwww.gigaspaces.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrdf4j.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.featurebase.comdocs.gigaspaces.com/­latest/­landing.htmlrdf4j.org/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperMolecula and Pilosa Open Source ContributorsGigaspaces TechnologiesRocket Software, originally Martin PhillipsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tencent
Initial release20172000199320042013
Current release2022, May 202215.5, September 20203.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJava
Server operating systemsLinux
macOS
Linux
macOS
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyesschema-freeyes infowith some exceptionsyes infoRDF Schemasyes
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.nono infoXML can be used for describing objects metadatayesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesSQL-99 for query and DML statementsnonoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesJava
Python
.Net
C++
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Java
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyesyes
Triggersnoyes, event driven architectureyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnoneMulti-source replication
Source-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes 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.yesyesno
User concepts infoAccess controlRole-based access controlAccess rights can be defined down to the item levelnoUsers with fine-grained authorization concept

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More resources
FeatureBaseGigaSpacesOpenQM infoalso called QMRDF4J infoformerly known as SesameTDSQL for MySQL
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