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DBMS > Hyprcubd vs. OceanBase vs. RDF4J vs. Spark SQL vs. STSdb

System Properties Comparison Hyprcubd vs. OceanBase vs. RDF4J vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonOceanBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA distributed, high available RDBMS compatible with Oracle and MySQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSRDF storeRelational DBMSKey-value store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehyprcubd.com (offline)en.oceanbase.comrdf4j.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationen.oceanbase.com/­docs/­oceanbase-databaserdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.OceanBase infopreviously Alibaba and Ant GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationSTS Soft SC
Initial release2010200420142011
Current release4.3.0, April 20243.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaScalaC#
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyesyes infoprimitive types and user defined types (classes)
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.noyesno
Secondary indexesnoyesyesnono
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
.NET Client API
Supported programming languagesAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
PHP
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyesnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by hash, key, range, range columns, list, and list columns)noneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controltoken accessAccess rights for users, groups and roles according to SQL-standardnonono

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More resources
HyprcubdOceanBaseRDF4J infoformerly known as SesameSpark SQLSTSdb
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