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DBMS > HugeGraph vs. Kingbase vs. Oracle Berkeley DB vs. SWC-DB vs. Valentina Server

System Properties Comparison HugeGraph vs. Kingbase vs. Oracle Berkeley DB vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Widely used in-process key-value storeA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelGraph DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cnwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBaiduBeiJing KINGBASE Information technologies inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleAlex KashirinParadigma Software
Initial release20181999199420201999
Current release0.9V8.0, August 202118.1.40, May 20200.5, April 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infocommercial license availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and JavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
macOS
Unix
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsyes infoSQL interfaced based on SQLite is availableSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Proprietary protocol
Thrift
ODBC
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsnonoyes
Triggersnoyesyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HugeGraphKingbaseOracle Berkeley DBSWC-DB infoSuper Wide Column DatabaseValentina Server
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