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DBMS > Apache Phoenix vs. Postgres-XL vs. Spark SQL vs. Tibero vs. Transbase

System Properties Comparison Apache Phoenix vs. Postgres-XL vs. Spark SQL vs. Tibero vs. Transbase

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from OracleA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#131  Overall
#63  Relational DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score1.98
Rank#139  Overall
#66  Relational DBMS
Score0.20
Rank#327  Overall
#144  Relational DBMS
Websitephoenix.apache.orgwww.postgres-xl.orgspark.apache.org/­sqlus.tmaxsoft.com/­products/­tiberowww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationApache Software FoundationTmaxSoftTransaction Software GmbH
Initial release20142014 infosince 2012, originally named StormDB201420031987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910 R1, October 20183.5.0 ( 2.13), September 20236, April 2015Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScalaC and AssemblerC and C++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
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 infoXML type, but no XML query functionalitynoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoPersistent Stored Procedure (PSM)yes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
Source-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 ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCnoACIDyes
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.yesnonono infoplanned for next versionno
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-standardnofine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard

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More resources
Apache PhoenixPostgres-XLSpark SQLTiberoTransbase
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