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DBMS > GigaSpaces vs. RavenDB vs. Realm vs. SWC-DB vs. TerarkDB

System Properties Comparison GigaSpaces vs. RavenDB vs. Realm vs. SWC-DB vs. TerarkDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA high performance, scalable Wide Column DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeDocument storeWide column storeKey-value store
Secondary database modelsGraph DBMS
Search engine
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
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
Score2.92
Rank#101  Overall
#18  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.gigaspaces.comravendb.netrealm.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­bytedance/­terarkdb
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlravendb.net/­docsrealm.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGigaspaces TechnologiesHibernating RhinosRealm, acquired by MongoDB in May 2019Alex KashirinByteDance, originally Terark
Initial release20002010201420202016
Current release15.5, September 20205.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen SourceOpen Source infoGPL V3commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC#C++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language (RQL)noSQL-like query languageno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
C++ API
Java API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++C++
Java
Server-side scripts infoStored proceduresyesyesno inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes, event driven architectureyesyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmnoyes
User concepts infoAccess controlRole-based access controlAuthorization levels configured per client per databaseyesno

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More resources
GigaSpacesRavenDBRealmSWC-DB infoSuper Wide Column DatabaseTerarkDB
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