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DBMS > HarperDB vs. HBase vs. RDF4J vs. Yanza

System Properties Comparison HarperDB vs. HBase vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.Wide-column store based on Apache Hadoop and on concepts of BigTableRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelDocument storeWide column storeRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#255  Overall
#39  Document stores
Score31.60
Rank#26  Overall
#2  Wide column stores
Score0.72
Rank#234  Overall
#9  RDF stores
Websitewww.harperdb.iohbase.apache.orgrdf4j.orgyanza.com
Technical documentationdocs.harperdb.io/­docshbase.apache.org/­book.htmlrdf4j.org/­documentation
DeveloperHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release2017200820042015
Current release3.1, August 20212.3.4, January 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaJava
Server operating systemsLinux
OS X
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Windows
Data schemedynamic schemaschema-free, schema definition possibleyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesoptions to bring your own types, AVROyesno
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like data manipulation statementsnonono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP 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
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infoCoprocessors in Javayesno
Triggersnoyesyesyes 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 clusterShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsSingle row ACID (across millions of columns)ACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes 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.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
HarperDBHBaseRDF4J infoformerly known as SesameYanza
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