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DBMS > GridGain vs. PouchDB vs. SQLite vs. VoltDB

System Properties Comparison GridGain vs. PouchDB vs. SQLite vs. VoltDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score1.51
Rank#165  Overall
#75  Relational DBMS
Websitewww.gridgain.compouchdb.comwww.sqlite.orgwww.voltdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlpouchdb.com/­guideswww.sqlite.org/­docs.htmldocs.voltdb.com
DeveloperGridGain Systems, Inc.Apache Software FoundationDwayne Richard HippVoltDB Inc.
Initial release2007201220002010
Current releaseGridGain 8.5.17.1.1, June 20193.45.2  (12 March 2024), March 202411.3, April 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoPublic DomainOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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.
Implementation languageJava, C++, .NetJavaScriptCJava, C++
Server operating systemsLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-lessLinux
OS X infofor development
Data schemeyesschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesnoyes infonot rigid because of 'dynamic typing' concept.yes
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.yesnono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infoSQL-92 is not fully supportedyes infoonly a subset of SQL 99
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptnoJava
Triggersyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locksyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoUsers and roles with access to stored procedures

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