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DBMS > Cubrid vs. Graph Engine vs. Hive vs. KeyDB

System Properties Comparison Cubrid vs. Graph Engine vs. Hive vs. KeyDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
www.graphengine.iohive.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationcubrid.org/­manualswww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.keydb.dev
DeveloperCUBRID Corporation, CUBRID FoundationMicrosoftApache Software Foundation infoinitially developed by FacebookEQ Alpha Technology Ltd.
Initial release2008201020122019
Current release11.0, January 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Java.NET and CJavaC++
Server operating systemsLinux
Windows
.NETAll OS with a Java VMLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonono
Secondary indexesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIJDBC
ODBC
Thrift
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes infouser defined functions and integration of map-reduceLua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
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 rolessimple password-based access control and ACL

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More resources
CubridGraph Engine infoformer name: TrinityHiveKeyDB
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