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DBMS > EsgynDB vs. Hive vs. HugeGraph vs. Kingbase vs. Oracle Berkeley DB

System Properties Comparison EsgynDB vs. Hive vs. HugeGraph vs. Kingbase vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on HadoopA 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 store
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
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
Websitewww.esgyn.cnhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cnwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperEsgynApache Software Foundation infoinitially developed by FacebookBaiduBeiJing KINGBASE Information technologies inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20152012201819991994
Current release3.1.3, April 20220.9V8.0, August 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJavaC and JavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Unix
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoStandard with numerous extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
Groovy
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
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsuser defined functionsno
Triggersnononoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUsers, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
EsgynDBHiveHugeGraphKingbaseOracle Berkeley DB
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