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DBMS > GigaSpaces vs. PouchDB vs. Sphinx vs. VoltDB

System Properties Comparison GigaSpaces vs. PouchDB vs. Sphinx vs. VoltDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed 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 modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.gigaspaces.compouchdb.comsphinxsearch.comwww.voltdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guidessphinxsearch.com/­docsdocs.voltdb.com
DeveloperGigaspaces TechnologiesApache Software FoundationSphinx Technologies Inc.VoltDB Inc.
Initial release2000201220012010
Current release15.5, September 20207.1.1, June 20193.5.1, February 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen 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++, .NetJavaScriptC++Java, C++
Server operating systemsLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyes infovia viewsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like query language (SphinxQL)yes infoonly a subset of SQL 99
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptnoJava
Triggersyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
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 infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual 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 persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.yes 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 controlRole-based access controlnonoUsers and roles with access to stored procedures

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More resources
GigaSpacesPouchDBSphinxVoltDB
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