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DBMS > LevelDB vs. Microsoft Azure Table Storage vs. RDF4J vs. VelocityDB vs. Yanza

System Properties Comparison LevelDB vs. Microsoft Azure Table Storage vs. RDF4J vs. VelocityDB vs. Yanza

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVelocityDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Time Series DBMS for IoT Applications
Primary database modelKey-value storeWide column storeRDF storeGraph DBMS
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgvelocitydb.comyanza.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationvelocitydb.com/­UserGuide
DeveloperGoogleMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.VelocityDB IncYanza
Initial release20112012200420112015
Current release1.23, February 20217.x
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Any that supports .NETWindows
Data schemeschema-freeschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononono
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NetHTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesnono
TriggersnonoyesCallbacks are triggered when data changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesnoBased on Windows Authenticationno

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More resources
LevelDBMicrosoft Azure Table StorageRDF4J infoformerly known as SesameVelocityDBYanza
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