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DBMS > Apache Pinot vs. GigaSpaces vs. Kyligence Enterprise vs. OpenQM vs. RDF4J

System Properties Comparison Apache Pinot vs. GigaSpaces vs. Kyligence Enterprise vs. OpenQM vs. RDF4J

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGigaSpaces  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed analytics engine for big data, built on top of Apache KylinQpenQM 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.
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSMultivalue DBMSRDF store
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitepinot.apache.orgwww.gigaspaces.comkyligence.io/­kyligence-enterprisewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrdf4j.org
Technical documentationdocs.pinot.apache.orgdocs.gigaspaces.com/­latest/­landing.htmlrdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsGigaspaces TechnologiesKyligence, Inc.Rocket Software, originally Martin PhillipsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152000201619932004
Current release1.0.0, September 202315.5, September 20203.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Solaris
Windows
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes infowith some exceptionsyes infoRDF Schemas
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 metadatanoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBCGigaSpaces 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
Supported programming languagesGo
Java
Python
.Net
C++
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesyes
Triggersyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access controlAccess rights can be defined down to the item levelno

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More resources
Apache PinotGigaSpacesKyligence EnterpriseOpenQM infoalso called QMRDF4J infoformerly known as Sesame
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