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DBMS > HBase vs. IBM Db2 warehouse vs. LevelDB vs. RDF4J vs. Sequoiadb

System Properties Comparison HBase vs. IBM Db2 warehouse vs. LevelDB vs. RDF4J vs. Sequoiadb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableCloud-based data warehousing serviceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQL
Primary database modelWide column storeRelational DBMSKey-value storeRDF storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitehbase.apache.orgwww.ibm.com/­products/­db2/­warehousegithub.com/­google/­leveldbrdf4j.orgwww.sequoiadb.com
Technical documentationhbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetIBMGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.
Initial release20082014201120042013
Current release2.3.4, January 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-free, schema definition possibleyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyesyes infooid, date, timestamp, binary, regex
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 infoImport/export of XML data possiblenono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnonoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaPL/SQL, SQL PLnoyesJavaScript
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnoACID infoIsolation support depends on the API usedDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes 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 controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardnonosimple password-based access control

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More resources
HBaseIBM Db2 warehouse infoformerly named IBM dashDBLevelDBRDF4J infoformerly known as SesameSequoiadb
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