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DBMS > Hazelcast vs. Netezza vs. PostgreSQL vs. RocksDB vs. TimesTen

System Properties Comparison Hazelcast vs. Netezza vs. PostgreSQL vs. RocksDB vs. TimesTen

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA widely adopted in-memory data gridData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)In-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeRelational 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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitehazelcast.comwww.ibm.com/­products/­netezzawww.postgresql.orgrocksdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhazelcast.org/­imdg/­docswww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wikidocs.oracle.com/­database/­timesten-18.1
DeveloperHazelcastIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200820001989 info1989: Postgres, 1996: PostgreSQL20131998
Current release5.3.6, November 202316.3, May 20248.11.4, April 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSDOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsAll OS with a Java VMLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesyes infostandard with numerous extensionsnoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noPL/SQL
Triggersyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole-based access controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
HazelcastNetezza infoAlso called PureData System for Analytics by IBMPostgreSQLRocksDBTimesTen
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