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DBMS > GridGain vs. PostgreSQL vs. PouchDB

System Properties Comparison GridGain vs. PostgreSQL vs. PouchDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPouchDB  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 SQLJavaScript DBMS with an API inspired by CouchDB
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.Document store
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
Score1.49
Rank#149  Overall
#1  Columnar
#25  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score652.16
Rank#4  Overall
#4  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websitewww.gridgain.comwww.postgresql.orgpouchdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.postgresql.org/­docspouchdb.com/­guides
DeveloperGridGain Systems, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release20071989 info1989: Postgres, 1996: PostgreSQL2012
Current releaseGridGain 8.5.116.4, August 20247.1.1, June 2019
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
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, SQLCJavaScript
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infostandard with numerous extensionsno
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
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
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.View functions in JavaScript
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infowith a proxy-based framework, named couchdb-lounge
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 infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardno

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3rd partiesSharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more.
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More resources
GridGainPostgreSQLPouchDB
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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