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DBMS > HBase vs. Ingres vs. PostgreSQL vs. Solr vs. Spark SQL

System Properties Comparison HBase vs. Ingres vs. PostgreSQL vs. Solr vs. Spark SQL

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  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 SQLA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processing
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.Search engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehbase.apache.orgwww.actian.com/­databases/­ingreswww.postgresql.orgsolr.apache.orgspark.apache.org/­sql
Technical documentationhbase.apache.org/­book.htmldocs.actian.com/­ingreswww.postgresql.org/­docssolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetActian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationApache Software Foundation
Initial release20081974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL20062014
Current release2.3.4, January 202111.2, May 202216.3, May 20249.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCJavaScala
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
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes infosupports customizable data types and automatic typingyes
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.yesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsSolr Parallel SQL InterfaceSQL-like DML and DDL statements
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
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
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.Java pluginsno
Triggersyesyesyesyes infoUser configurable commands triggered on index changesno
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 hashShardingyes, utilizing Spark Core
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 extensionsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesnonoyesno
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-standardyesno

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More resources
HBaseIngresPostgreSQLSolrSpark SQL
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