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DBMS > Apache Phoenix vs. Brytlyt vs. OpenQM vs. Splice Machine

System Properties Comparison Apache Phoenix vs. Brytlyt vs. OpenQM vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSplice Machine  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 PostgreSQLQpenQM is a high-performance, self-tuning, multi-value DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational 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
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitephoenix.apache.orgbrytlyt.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsplicemachine.com
Technical documentationphoenix.apache.orgdocs.brytlyt.iosplicemachine.com/­how-it-works
DeveloperApache Software FoundationBrytlytRocket Software, originally Martin PhillipsSplice Machine
Initial release2014201619932014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 20233.4-123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoAGPL 3.0, commercial license 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++ and CUDAJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin PL/pgSQLyesyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes
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-standardAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixBrytlytOpenQM infoalso called QMSplice Machine
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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28 June 2016, ADT Magazine

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25 September 2018, azure.microsoft.com

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2 June 2016, AWS Blog

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22 December 2021, Silicon Canals

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
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Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

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22 December 2021, BusinessCloud

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26 August 2021, The Register

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