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DBMS > Apache Phoenix vs. Brytlyt vs. Cubrid vs. Graph Engine vs. Newts

System Properties Comparison Apache Phoenix vs. Brytlyt vs. Cubrid vs. Graph Engine vs. Newts

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonCubrid  Xexclude from comparisonGraph Engine infoformer name: Trinity  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 OLTPA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Key-value store
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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitephoenix.apache.orgbrytlyt.iocubrid.com (korean)
cubrid.org (english)
www.graphengine.ioopennms.github.io/­newts
Technical documentationphoenix.apache.orgdocs.brytlyt.iocubrid.org/­manualswww.graphengine.io/­docs/­manualgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software FoundationBrytlytCUBRID Corporation, CUBRID FoundationMicrosoftOpenNMS Group
Initial release20142016200820102014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 202311.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen 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++, Java.NET and CJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
.NETLinux
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.nonono
Secondary indexesyesyesyesno
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
RESTful HTTP APIHTTP 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++
F#
Visual Basic
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLJava Stored Proceduresyesno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual 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 dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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-standardno

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More resources
Apache PhoenixBrytlytCubridGraph Engine infoformer name: TrinityNewts
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