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DBMS > H2 vs. Hazelcast vs. Hive vs. HyperSQL vs. PostgreSQL

System Properties Comparison H2 vs. Hazelcast vs. Hive vs. HyperSQL vs. PostgreSQL

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on HadoopMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.h2database.comhazelcast.comhive.apache.orghsqldb.orgwww.postgresql.org
Technical documentationwww.h2database.com/­html/­main.htmlhazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homehsqldb.org/­web/­hsqlDocsFrame.htmlwww.postgresql.org/­docs
DeveloperThomas MuellerHazelcastApache Software Foundation infoinitially developed by FacebookPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20052008201220011989 info1989: Postgres, 1996: PostgreSQL
Current release2.2.220, July 20235.3.6, November 20233.1.3, April 20222.7.2, June 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2Open Source infobased on BSD licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaJavaJavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VMAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infothe object must implement a serialization strategynoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyesyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
All languages supporting JDBC/ODBC
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduceJava, SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoReplicated Mapselectable replication factornoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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