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

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

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHive  Xexclude from comparisonMySQL  Xexclude from comparisonNuoDB  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 RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational 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
Score0.16
Rank#266  Overall
#18  Time Series DBMS
Score84.22
Rank#14  Overall
#9  Relational DBMS
Score1266.28
Rank#2  Overall
#2  Relational DBMS
Score0.92
Rank#160  Overall
#77  Relational DBMS
Score1336.07
Rank#1  Overall
#1  Relational DBMS
Websitewww.dolphindb.comhive.apache.orgwww.mysql.comwww.nuodb.comwww.oracle.com/­database
Technical documentationwww.dolphindb.com/­helpcwiki.apache.org/­confluence/­display/­Hive/­Homedev.mysql.com/­docdoc.nuodb.comdocs.oracle.com/­en/­database
DeveloperDolphinDB, IncApache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then SunNuoDB, Inc.Oracle
Initial release20182012199520131980
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 infolimited edition freecommercial inforestricted free version is available
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.
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++C and C++
Server operating systemsLinux
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infowith proprietary extensionsyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
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
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
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 syntaxJava, SQLPL/SQL infoalso stored procedures in Java possible
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMaster-master replication
Master-slave replication
yes infoManaged transparently by NuoDBMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infonot for MyISAM storage engineACID infotunable commit protocolACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes infoMVCCyes
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.yesyesyes infoTemporary tableyes 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 rolesStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard
More information provided by the system vendor
DolphinDBHiveMySQLNuoDBOracle
Specific characteristicsHorizontal scale-out, continuous availability, multi-tenant support, ANSI SQL compatible,...
» more
Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
Competitive advantagesNuoDB is a scale-out SQL RDBMS based on a Durable Distributed Caching (DDC) architecture....
» more
Typical application scenariosOperational / OLTP database workloads in data centers or public clouds
» more
Key customersDassault Systemes, Santander, Temenos
» more
Market metricsFast growing commercial and enterprise customer base IDC Innovators: Dynamically...
» more
Licensing and pricing modelsSubscription-based pricing with free community edition and commercial enterprise...
» more
Oracle Database Cloud Services Customers can choose from a wide range of database...
» more
News

NuoDB Golang Operator Now Available, Delivering On Automated Day 2 Operations (Tech Blog)
13 November 2019

3 Inflection Points Transforming the Banking Industry (Corporate Blog)
29 October 2019

Your Upgrade Guide for NuoDB - 4 Simple Steps for Success (Tech Blog)
2 October 2019

At Sibos, Technology For Your Cloud Banking Transformation (Corporate Blog)
20 September 2019

DDL+ACID - You‘ve heard of ‘transactional’, let’s talk ‘isolated’ (Tech Blog)
19 September 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DolphinDBHiveMySQLNuoDBOracle
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