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DBMS > HBase vs. Ingres vs. PostgreSQL

System Properties Comparison HBase vs. Ingres vs. PostgreSQL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableWell established RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelWide column storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score37.62
Rank#26  Overall
#2  Wide column stores
Score6.45
Rank#67  Overall
#36  Relational DBMS
Score613.83
Rank#4  Overall
#4  Relational DBMS
Websitehbase.apache.orgwww.actian.com/­data-management/­ingres-sql-rdbmswww.postgresql.org
Technical documentationhbase.apache.orgdocs.actian.com/­ingreswww.postgresql.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetActian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20081974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL
Current release2.3.4, January 202111.0, April 201715.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSD
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.
  • Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.
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Implementation languageJavaCC
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslypartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres ReplicatorSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
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 controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HBaseIngresPostgreSQL
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Conferences and events

PGCon 2023, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 30 May 2023 - 2 June 2023

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