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

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

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonHBase  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 OLTPWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column storeTime 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitephoenix.apache.orgbrytlyt.iocubrid.com (korean)
cubrid.org (english)
hbase.apache.orgopennms.github.io/­newts
Technical documentationphoenix.apache.orgdocs.brytlyt.iocubrid.org/­manualshbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software FoundationBrytlytCUBRID Corporation, CUBRID FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS Group
Initial release20142016200820082014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 202311.0, January 20212.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open 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++, JavaJavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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.nonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyesyesnono
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
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#
C++
Groovy
Java
PHP
Python
Scala
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLJava Stored Proceduresyes infoCoprocessors in Javano
Triggersnoyesyesyesno
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 replicationMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual 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 dataACIDACIDACIDSingle row ACID (across millions of columns)no
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-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Apache PhoenixBrytlytCubridHBaseNewts
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