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DBMS > HugeGraph vs. MySQL vs. Oracle vs. Oracle Berkeley DB

System Properties Comparison HugeGraph vs. MySQL vs. Oracle vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMySQL  Xexclude from comparisonOracle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWidely used open source RDBMSWidely used RDBMSWidely used in-process key-value store
Primary database modelGraph DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#305  Overall
#30  Graph DBMS
Score1268.35
Rank#2  Overall
#2  Relational DBMS
Score1345.42
Rank#1  Overall
#1  Relational DBMS
Score2.69
Rank#92  Overall
#17  Key-value stores
#2  Native XML DBMS
Websitegithub.com/­hugegraphwww.mysql.comwww.oracle.com/­databasewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationhugegraph.github.io/­hugegraph-docdev.mysql.com/­docdocs.oracle.com/­en/­databasedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBaiduOracle infosince 2010, originally MySQL AB, then SunOracleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2018199519801994
Current release0.98.0.19, 202019c, February 201918.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial inforestricted free version is availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC and C++C and C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGroovy
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.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 proceduresasynchronous Gremlin script jobsyes infoproprietary syntaxPL/SQL infoalso stored procedures in Java possibleno
Triggersnoyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning infowith the optional Oracle Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMaster-master replication
Master-slave replication
Master-master replication
Master-slave replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
HugeGraphMySQLOracleOracle Berkeley DB
Specific characteristicsOracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
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Licensing and pricing modelsOracle Database Cloud Services Customers can choose from a wide range of database...
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