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DBMS > GridDB vs. RavenDB vs. Realm vs. SWC-DB

System Properties Comparison GridDB vs. RavenDB vs. Realm vs. SWC-DB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRealm  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataOpen 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 DBMS
Primary database modelTime Series DBMSDocument storeDocument storeWide column store
Secondary database modelsKey-value store
Relational DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series 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
Websitegriddb.netravendb.netrealm.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.griddb.netravendb.net/­docsrealm.io/­docs
DeveloperToshiba CorporationHibernating RhinosRealm, acquired by MongoDB in May 2019Alex Kashirin
Initial release2013201020142020
Current release5.1, August 20225.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoAGPL version 3, commercial license availableOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (RQL)noSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.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
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersDefault 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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users can be defined per databaseAuthorization levels configured per client per databaseyes
More information provided by the system vendor
GridDBRavenDBRealmSWC-DB infoSuper Wide Column Database
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBRavenDBRealmSWC-DB infoSuper Wide Column Database
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