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DBMS > Infobright vs. PostgreSQL vs. Spark SQL

System Properties Comparison Infobright vs. PostgreSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
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.Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#159  Overall
#78  Relational DBMS
Score586.97
Rank#4  Overall
#4  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Websitewww.ignitetech.com/­infobright-dbwww.postgresql.orgspark.apache.org/­sql
Technical documentationwww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release20051989 info1989: Postgres, 1996: PostgreSQL2014
Current release14.0, September 20213.1.1, March 2021
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageCCScala
Server operating systemsLinux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes
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.no
Secondary indexesno infoKnowledge Grid Technology used insteadyesno
SQL infoSupport of SQLyesyes infostandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardno

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More resources
InfobrightPostgreSQLSpark SQL
DB-Engines blog posts

The Inexorable Rise of PostgreSQL
24 September 2021,  Matt Yonkovit, Percona (sponsor) 

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Conferences and events

PostgreSQL Performance Tuning Secrets
On Demand Webinar, 21 October 2021

Postgres Build 2021
Free Virtual Event, 30 November 2021 - 1 December 2021

Finished events

Latest Performance Features in PostgreSQL 14
On Demand Webinar, 14 October 2021 (finished)

Recent citations in the news

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

provided by Google News

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PostgreSQL 14 improves open source database performance
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Open-source veteran PostgreSQL emits release 14: Tweaked, scalable, and ready to get heavy
1 October 2021, The Register

PostgreSQL 14 brings performance boosts
1 October 2021, InfoWorld

Postgresql 14 Is Now Available, Check The New Features
6 October 2021, Analytics India Magazine

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Online workshop: Data Science with Python and Spark
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