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DBMS > HBase vs. HEAVY.AI vs. MonetDB vs. RDF4J

System Properties Comparison HBase vs. HEAVY.AI vs. MonetDB vs. RDF4J

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMonetDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA relational database management system that stores data in columnsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitehbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.monetdb.orgrdf4j.org
Technical documentationhbase.apache.org/­book.htmldocs.heavy.aiwww.monetdb.org/­Documentationrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.MonetDB BVSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008201620042004
Current release2.3.4, January 20215.10, January 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla Public License 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDACJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free, schema definition possibleyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes, in SQL, C, Ryes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID 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.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
HBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MonetDBRDF4J infoformerly known as Sesame
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