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DBMS > GridGain vs. Memcached vs. PouchDB vs. VoltDB

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMemcached  Xexclude from comparisonPouchDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteIn-memory key-value store, originally intended for cachingJavaScript DBMS with an API inspired by CouchDBDistributed 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
Key-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.gridgain.comwww.memcached.orgpouchdb.comwww.voltdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­memcached/­memcached/­wikipouchdb.com/­guidesdocs.voltdb.com
DeveloperGridGain Systems, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationVoltDB Inc.
Initial release2007200320122010
Current releaseGridGain 8.5.11.6.25, March 20247.1.1, June 201911.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen SourceOpen 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

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Implementation languageJava, C++, .NetCJavaScriptJava, C++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X infofor development
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.yesno
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes infoonly a subset of SQL 99
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolHTTP REST infoonly for PouchDB Server
JavaScript API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScriptC#
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)noView functions in JavaScriptJava
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallityMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesnoyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocolnoUsers and roles with access to stored procedures

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GridGainMemcachedPouchDBVoltDB
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