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DBMS > GridDB

GridDB System Properties

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Editorial information provided by DB-Engines
NameGridDB
DescriptionScalable key-value store for mission critical IoT applications
Primary database modelKey-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#240  Overall
#44  Key-value stores
#15  Time Series DBMS
Websitegriddb.net
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.php
DeveloperToshiba Corporation
Initial release2013
Current release4.0, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceno
Implementation languageC++
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestamp
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
Secondary indexesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)
APIs and other access methodsProprietary protocol
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container level
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per database
More information provided by the system vendor
GridDB
Specific characteristics

GridDB is an open source database for IoT applications. Its in-memory data architecture coupled with parallel processing technology makes GridDB faster than any other leading NoSQL databases. GridDB's Key-Container data model is designed from the ground up to handle IoT/Time-series data model. 
GridDB Open Source
GridDB developer site

Competitive advantages

1. Optimized for IoT
Equipped with Toshiba’s proprietary key-container data model that guarantees ACID compliance at the container level, provides time-series functionalities, and presents excellent performance.
2. High Performance
In-memory architecture with a superb parallel processing and minimal overhead. Fast ingest and query for various types of data structures. YCSB Benchmark 
3. High Scalability
Scale out to 1,000 nodes with commodity hardware. 
4. High Availability
GridDB' Hybrid Architecture eliminates Single Point of Failure. 

[see article]

Typical application scenarios

Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.

Key customers
  • Denso International [see use case]
  • An Electric Power company [see use case]
  • Ishinomaki City Smart Community Project
  • Kobe Steel.
Licensing and pricing models
  • Open Source license (AGPL v3 & Apache v2)
  • Commercial license (subscription)

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