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GridDB System Properties

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Editorial information provided by DB-Engines

Name

Description

Scalable in-memory time series database optimized for IoT and Big Data

Primary database model

Time Series DBMS

Secondary database models

Key-value store
Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.76
Rank	#128	Overall
	#9	Time Series DBMS

Website

griddb.net

Technical documentation

docs.griddb.net

Developer

Toshiba Corporation

Initial release

2013

Current release

5.1, August 2022

License

Commercial or Open Source

Open Source

AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

numerical, string, blob, geometry, boolean, timestamp

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

SQL92, SQL-like TQL (Toshiba Query Language)

APIs and other access methods

JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency within container, eventual consistency across containers

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID at container level

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users can be defined per database

More information provided by the system vendor

Specific characteristics

GridDB is a highly scalable, in-memory time series database optimized for IoT and Big Data. Its in-memory data architecture coupled with parallel processing technology makes GridDB faster than any other time series databases. GridDB's Key-Container data model is designed from the ground up to handle IoT/Time-series data model. Visit GitHub and Developer site for more information:
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.
3. High Scalability
Scale out to 1,000 nodes with commodity hardware.
4. High Availability
GridDB's Hybrid Architecture eliminates Single Point of Failure.

[see article]

Benchmark Results:

GridDB vs MariaDB

GridDB vs InfluxDB

GridDB vs Cassandra

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.

Market metrics

GitHub trending repository

Licensing and pricing models

Open Source license (AGPL v3 & Apache v2)
Commercial license (subscription)

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Toshiba’s GridDB® Cloud Database Service for Big Data and IoT is Now Available Globally | Toshiba
17 April 2025, global.toshiba

Enterprise Edition with Improved Fault Tolerance and a New Affordable Monthly Plan for GridDB
15 October 2024, global.toshiba

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, theregister.com

General Availability of GridDB® 5.6 Enterprise Edition ~ Equipped with the "site-to-site database replication" function that enables utilization of replicas for large-scale disasters preparation and facilitates data analysis ~ | Toshiba
17 April 2024, global.toshiba

The New Revamped GridDB 5.0 Features Pluggable Data Store Architecture
22 April 2022, global.toshiba

provided by Google News

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