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DBMS > GridGain vs. PostgreSQL vs. TimesTen vs. Transwarp Hippo

System Properties Comparison GridGain vs. PostgreSQL vs. TimesTen vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTimesTen  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSVector DBMS
Secondary database modelsDocument 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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitewww.gridgain.comwww.postgresql.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.postgresql.org/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperGridGain Systems, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20071989 info1989: Postgres, 1996: PostgreSQL19982023
Current releaseGridGain 8.5.116.4, August 2024Release 22.11.0, May 2023
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJava, C++, .Net, Python, REST, SQLCC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensionsyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
Node.js
PL/SQL
Python
C++
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.PL/SQLno
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
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 control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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