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DBMS > Apache Phoenix vs. Cubrid vs. DataFS vs. GigaSpaces

System Properties Comparison Apache Phoenix vs. Cubrid vs. DataFS vs. GigaSpaces

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCubrid  Xexclude from comparisonDataFS  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMSGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
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Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitephoenix.apache.orgcubrid.com (korean)
cubrid.org (english)
newdatabase.comwww.gigaspaces.com
Technical documentationphoenix.apache.orgcubrid.org/­manualsdev.mobiland.com/­Overview.xspdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationMobiland AGGigaspaces Technologies
Initial release2014200820182000
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, January 20211.1.263, October 202215.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJava, C++, .Net
Server operating systemsLinux
Unix
Windows
Linux
Windows
WindowsLinux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
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.nononono infoXML can be used for describing objects metadata
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoSQL-99 for query and DML statements
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
.NET Client API
Proprietary client DLL
WinRT client
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyes
Triggersnoyesno, except callback-events from server when changes happenedyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesShardingnoneProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardWindows-ProfileRole-based access control

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More resources
Apache PhoenixCubridDataFSGigaSpaces
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