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DBMS > Apache Phoenix vs. Brytlyt vs. Cubrid vs. GridGain vs. Newts

System Properties Comparison Apache Phoenix vs. Brytlyt vs. Cubrid vs. GridGain vs. Newts

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonGridGain  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitephoenix.apache.orgbrytlyt.iocubrid.com (korean)
cubrid.org (english)
www.gridgain.comopennms.github.io/­newts
Technical documentationphoenix.apache.orgdocs.brytlyt.iocubrid.org/­manualswww.gridgain.com/­docs/­index.htmlgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software FoundationBrytlytCUBRID Corporation, CUBRID FoundationGridGain Systems, Inc.OpenNMS Group
Initial release20142016200820072014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 202311.0, January 2021GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC, C++, JavaJava, C++, .NetJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
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.noyes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationyes (replicated cache)selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesno
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-standardfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno

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More resources
Apache PhoenixBrytlytCubridGridGainNewts
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