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

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

Editorial information provided by DB-Engines
NameHarperDB  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.
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A 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 modelDocument storeWide column storeRDF storeGraph DBMS
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document 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
Websitewww.harperdb.ioazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgvelocitydb.comyanza.com
Technical documentationdocs.harperdb.io/­docsrdf4j.org/­documentationvelocitydb.com/­UserGuide
DeveloperHarperDBMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.VelocityDB IncYanza
Initial release20172012200420112015
Current release3.1, August 20217.x
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen 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 languageNode.jsJavaC#
Server operating systemsLinux
OS X
hostedLinux
OS X
Unix
Windows
Any that supports .NETWindows
Data schemedynamic schemaschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like data manipulation statementsnononono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NetHTTP API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noyesnono
TriggersnonoyesCallbacks are triggered when data changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud servicenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes 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 dataAtomic execution of specific operationsoptimistic lockingACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes 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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights based on private key authentication or shared access signaturesnoBased on Windows Authenticationno

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More resources
HarperDBMicrosoft Azure Table StorageRDF4J infoformerly known as SesameVelocityDBYanza
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