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DBMS > DolphinDB vs. Hive vs. MySQL vs. Oracle

System Properties Comparison DolphinDB vs. Hive vs. MySQL vs. Oracle

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHive  Xexclude from comparisonMySQL  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languagedata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used open source RDBMSWidely used RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
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
Score0.18
Rank#259  Overall
#19  Time Series DBMS
Score86.05
Rank#14  Overall
#9  Relational DBMS
Score1275.67
Rank#2  Overall
#2  Relational DBMS
Score1346.39
Rank#1  Overall
#1  Relational DBMS
Websitewww.dolphindb.comhive.apache.orgwww.mysql.comwww.oracle.com/­database
Technical documentationwww.dolphindb.com/­helpcwiki.apache.org/­confluence/­display/­Hive/­Homedev.mysql.com/­docdocs.oracle.com/­en/­database
DeveloperDolphinDB, IncApache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then SunOracle
Initial release2018201219951980
Current release3.1.2, August 20198.0.18, October 201919c, February 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial inforestricted free version is 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 languageC++JavaC and C++C and C++
Server operating systemsLinux
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infowith proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C++
Java
PHP
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
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infoproprietary syntaxPL/SQL infoalso stored procedures in Java possible
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMaster-master replication
Master-slave replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infonot for MyISAM storage engineACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes 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'
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DolphinDBHiveMySQLOracle
Specific characteristicsOracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
Licensing and pricing modelsOracle Database Cloud Services Customers can choose from a wide range of database...
» more

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More resources
DolphinDBHiveMySQLOracle
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