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DBMS > Hyprcubd vs. Newts vs. RDF4J vs. RethinkDB vs. Sphinx

System Properties Comparison Hyprcubd vs. Newts vs. RDF4J vs. RethinkDB vs. Sphinx

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRethinkDB  Xexclude from comparisonSphinx  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for the Web with a mechanism to push updated query results to applications in realtime.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSTime Series DBMSRDF storeDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.74
Rank#105  Overall
#19  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitehyprcubd.com (offline)opennms.github.io/­newtsrdf4j.orgrethinkdb.comsphinxsearch.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentationrethinkdb.com/­docssphinxsearch.com/­docs
DeveloperHyprcubd, Inc.OpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince July 2017Sphinx Technologies Inc.
Initial release2014200420092001
Current release2.4.1, August 20203.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++C++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes infostring, binary, float, bool, date, geometryno
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 indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenononoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (https)HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol
Supported programming languagesJavaJava
PHP
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyesno
TriggersnonoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding inforange basedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controltoken accessnonoyes infousers and table-level permissionsno

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More resources
HyprcubdNewtsRDF4J infoformerly known as SesameRethinkDBSphinx
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