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DBMS > GridDB vs. NSDb vs. ObjectBox vs. OrigoDB

System Properties Comparison GridDB vs. NSDb vs. ObjectBox vs. OrigoDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonNSDb  Xexclude from comparisonObjectBox  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA fully ACID in-memory object graph database
Primary database modelTime Series DBMSTime Series DBMSObject oriented DBMS
Vector DBMS
Document store
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websitegriddb.netnsdb.iogithub.com/­objectbox
objectbox.io
origodb.com
Technical documentationdocs.griddb.netnsdb.io/­Architecturedocs.objectbox.ioorigodb.com/­docs
DeveloperToshiba CorporationObjectBox LimitedRobert Friberg et al
Initial release2013201720172009 infounder the name LiveDB
Current release5.1, August 20224.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Bindings are released under Apache 2.0 infoApache License 2.0Open Source
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++Java, ScalaC and C++C#
Server operating systemsLinuxLinux
macOS
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes: int, bigint, decimal, stringyes, plus "flex" map-like typesUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
gRPC
HTTP REST
WebSocket
Proprietary native API.NET Client API
HTTP API
LINQ
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Server-side scripts infoStored proceduresnononoyes
Triggersyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offlineSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyesRole based authorization
More information provided by the system vendor
GridDBNSDbObjectBoxOrigoDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBNSDbObjectBoxOrigoDB
Recent citations in the news

General Availability of GridDB® 5.5 Enterprise Edition ~Enhancing the efficiency of IoT system development and ...
16 January 2024, global.toshiba

General Availability of GridDB 5.3 Enterprise Edition ~ Major Enhancement in IoT and Time Series Data Analysis ...
16 May 2023, global.toshiba

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, The Register

General Availability of GridDB 5.1 Enterprise Edition ~ Continuous database usage in the event of data center failure ...
19 August 2022, global.toshiba

GridDB Use case Large-scale high-speed processing of smart meter data following the deregulation of electrical power ...
1 November 2020, global.toshiba

provided by Google News

ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

The Megashift Towards Decentralized Edge Computing
27 August 2021, hackernoon.com

provided by Google News



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