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DBMS > Apache Phoenix vs. Cubrid vs. DolphinDB vs. GridGain

System Properties Comparison Apache Phoenix vs. Cubrid vs. DolphinDB vs. GridGain

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCubrid  Xexclude from comparisonDolphinDB  Xexclude from comparisonGridGain  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 OLTPDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitephoenix.apache.orgcubrid.com (korean)
cubrid.org (english)
www.dolphindb.comwww.gridgain.com
Technical documentationphoenix.apache.orgcubrid.org/­manualsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.html
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationDolphinDB, IncGridGain Systems, Inc.
Initial release2014200820182007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, January 2021v2.00.4, January 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC++Java, C++, .Net
Server operating systemsLinux
Unix
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query languageANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
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
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.yesnoyesyes
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-standardAdministrators, Users, GroupsSecurity Hooks for custom implementations

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More resources
Apache PhoenixCubridDolphinDBGridGain
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