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DBMS > Apache Phoenix vs. JaguarDB vs. Postgres-XL vs. Yaacomo

System Properties Comparison Apache Phoenix vs. JaguarDB vs. Postgres-XL vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasePerformant, highly scalable DBMS for AI and IoT applicationsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitephoenix.apache.orgwww.jaguardb.comwww.postgres-xl.orgyaacomo.com
Technical documentationphoenix.apache.orgwww.jaguardb.com/­support.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software FoundationDataJaguar, Inc.Q2WEB GmbH
Initial release201420152014 infosince 2012, originally named StormDB2009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC
Server operating systemsLinux
Unix
Windows
LinuxLinux
macOS
Android
Linux
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infodistributed, parallel query executionyes
APIs and other access methodsJDBCJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACID
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PhoenixJaguarDBPostgres-XLYaacomo
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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

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

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

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

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provided by Google News



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