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DBMS > Postgres-XL vs. PostgreSQL vs. Yanza

System Properties Comparison Postgres-XL vs. PostgreSQL vs. Yanza

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#213  Overall
#102  Relational DBMS
Score506.94
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#334  Overall
#31  Time Series DBMS
Websitewww.postgres-xl.orgwww.postgresql.orgyanza.com
Technical documentationwww.postgres-xl.org/­documentationwww.postgresql.org/­docs/­manuals
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerYanza
Initial release2014 infosince 2012, originally named StormDB1989 info1989: Postgres, 1996: PostgreSQL2015
Current release10 R1, October 201812.2, February 2020
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoBSDcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageCC
Server operating systemsLinux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yes infoXML type, but no XML query functionalityyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesno
SQL infoSupport of SQLyes infodistributed, parallel query executionyes infostandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

More information provided by the system vendor

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Related products and services
3rd partiesNavicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
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DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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pgDash: In-Depth PostgreSQL Monitoring.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Postgres-XLPostgreSQLYanza
DB-Engines blog posts

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Conferences and events

PGCon 2020, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 26-29 May 2020

Recent citations in the news

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

Interview with Frank Huerta and Mason Sharp on PostGres-XL
13 May 2014, opensource.com

When PostgreSQL Doesn't Scale Well Enough
18 April 2016, DZone News

PostgreSQL vs. Hadoop
20 August 2016, DZone News

provided by Google News

Google lays out HarbourBridge to tempt PostgreSQL users onto Cloud Spanner • DEVCLASS
13 February 2020, DevClass

Crunchy PostgreSQL for Kubernetes 4.2 Receives Red Hat OpenShift Operator Certification
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