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DBMS > LevelDB vs. Netezza vs. RavenDB vs. RDF4J

System Properties Comparison LevelDB vs. Netezza vs. RavenDB vs. RDF4J

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeRelational DBMSDocument storeRDF store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#89  Overall
#15  Key-value stores
Score19.61
Rank#33  Overall
#20  Relational DBMS
Score3.45
Rank#81  Overall
#14  Document stores
Score0.39
Rank#220  Overall
#10  RDF stores
Websitegithub.com/­google/­leveldbwww.ibm.com/­analytics/­netezzaravendb.netrdf4j.org
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdravendb.net/­docsdocs.rdf4j.org
DeveloperGoogleIBMHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2011200020102004
Current release1.22, May 20194.2, May 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license availableOpen 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 languageC++C#Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesnoyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (RQL)no
APIs and other access methodsC++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
JDBC
ODBC
OLE DB
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Go
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationMulti-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMapReduce functions can be defined in Linqno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes infoin-memory storage is supported as well
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess control on document level using the Authorization Bundleno

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More resources
LevelDBNetezza infoAlso called PureData System for Analytics by IBMRavenDBRDF4J infoformerly known as Sesame
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