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DBMS > GigaSpaces vs. RethinkDB vs. SWC-DB vs. Yanza

System Properties Comparison GigaSpaces vs. RethinkDB vs. SWC-DB vs. Yanza

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRethinkDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDBMS for the Web with a mechanism to push updated query results to applications in realtime.A high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeWide column storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.gigaspaces.comrethinkdb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlrethinkdb.com/­docs
DeveloperGigaspaces TechnologiesThe Linux Foundation infosince July 2017Alex KashirinYanza
Initial release2000200920202015
Current release15.5, September 20202.4.1, August 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2Open Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Windows
LinuxWindows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryno
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 metadatanonono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocol
Thrift
HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnono
Triggersyes, event driven architectureClient-side triggers through changefeedsnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnone
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, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controlyes infousers and table-level permissionsno

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More resources
GigaSpacesRethinkDBSWC-DB infoSuper Wide Column DatabaseYanza
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