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DBMS > GigaSpaces vs. Realm vs. WakandaDB

System Properties Comparison GigaSpaces vs. Realm vs. WakandaDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRealm  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeObject oriented 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
Score7.60
Rank#52  Overall
#9  Document stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.gigaspaces.comrealm.iowakanda.github.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlrealm.io/­docswakanda.github.io/­doc
DeveloperGigaspaces TechnologiesRealm, acquired by MongoDB in May 2019Wakanda SAS
Initial release200020142012
Current release15.5, September 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++, JavaScript
Server operating systemsLinux
macOS
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 metadatanono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersyes, event driven architectureyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmno
User concepts infoAccess controlRole-based access controlyesyes

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GigaSpacesRealmWakandaDB
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