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DBMS > HBase vs. openGauss vs. RDF4J vs. Sqrrl vs. Valentina Server

System Properties Comparison HBase vs. openGauss vs. RDF4J vs. Sqrrl vs. Valentina Server

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonopenGauss  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSqrrl  Xexclude from comparisonValentina Server  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Adaptable, secure NoSQL built on Apache AccumuloObject-relational database and reports server
Primary database modelWide column storeRelational DBMSRDF storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitehbase.apache.orggitee.com/­opengauss
opengauss.org
rdf4j.orgsqrrl.comwww.valentina-db.net
Technical documentationhbase.apache.org/­book.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
rdf4j.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHuawei and openGauss communitySince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Amazon infooriginally Sqrrl Data, Inc.Paradigma Software
Initial release20082019200420121999
Current release2.3.4, January 20213.0, March 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJavaJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyesyes
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.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011nonoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesyesnoyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)noneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID infoIsolation support depends on the API usedAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
HBaseopenGaussRDF4J infoformerly known as SesameSqrrlValentina Server
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