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DBMS > BaseX vs. Hazelcast vs. PostgreSQL vs. Valentina Server

System Properties Comparison BaseX vs. Hazelcast vs. PostgreSQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonHazelcast  Xexclude from comparisonPostgreSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A widely adopted in-memory data gridWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLObject-relational database and reports server
Primary database modelNative XML DBMSKey-value storeRelational 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 infoJSON support with IMDG 3.12Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitebasex.orghazelcast.comwww.postgresql.orgwww.valentina-db.net
Technical documentationdocs.basex.orghazelcast.org/­imdg/­docswww.postgresql.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBaseX GmbHHazelcastPostgreSQL Global Development Group infowww.postgresql.org/­developerParadigma Software
Initial release200720081989 info1989: Postgres, 1996: PostgreSQL1999
Current release10.7, August 20235.3.6, November 202316.3, May 20245.7.5
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 infothe object must implement a serialization strategyyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensionsyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyes infovia eventsyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BaseXHazelcastPostgreSQLValentina Server
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