Cyber-physical systems: automated driving, smart grids, smart factories, smart buildings...

Cyber-physical systems collect a wide variety of data in the physical space (the real world), analyse and make use of it in the cyberspace using large-scale data processing technology, and use the information and value created to revitalise industry and solve social problems. Cyber-physical systems for realising an advanced society require an infrastructure that can process enormous amount, petabytes of data generated by IoT in real-time. 

GridDB meets the requirements for realising cyber-physical systems (Optimized for IoT and Time Series data, support multi data stores, Petabyte-Scale Performance , High Available and Reliable, Developers Friendly).

Features

Optimized for Time Series Data and Multi-Model support

Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency*.

*In the future, the system will support not only row-oriented stores suitable for registration and updating, but also column-oriented stores suitable for data analysis and object stores suitable for unstructured data representation.。

Petabyte-Scale Performance for Big Data System

Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications.

Highly Available and Reliable

High reliability for non-stop operation in the event of failure or server expansion, and flexible scalability to scale up or down as well as scale out or in according to requirements.

Developers Friendly

SQL interface as well as NoSQL interface, enabling real-time processing in SQL while collecting large amounts of data in NoSQL

Lineup

GridDB
Community Edition

GridDB is an open source database designed to store large amount of time series data in real time.

GridDB
Enterprise Edition

The best way to run GridDB in a production environment. Equipped with advanced security and professional support.

 
GridDB Cloud

Fully managed GridDB as-a-service deployed on the cloud. Our experts take care of troublesome database maintenance for you.

Different products for your needs

Item
Functionality

GridDB
Community Edition

GridDB
Enterprise Edition

GridDB Cloud
Support
 
Professional Service
 
Data Management
Time Series Container
Collection Container
Tree Index
Data Affinity
Table Partitioning
Query Language
TQL
SQL
NoSQL Interface
Java
C
NewSQL(SQL) Interface
JDBC
ODBC  
WebAPI  
Time Series Data
Time Series Analysis
Expiry Release (Data Retention)
Clustering
Cluster Configuration
 
Distributed Data Management
 
Replication
 
Administration
Rolling Upgrade
   
Online Backup
 
Export/Import
Operation Management GUI
 
Operation Command
Security
Data-In-Transit (TLS/SSL)
 
Authentication (LDAP)
   
On Premise On Premise  
Cloud Service Cloud Service    
Item
Functionality

GridDB
Community Edition

GridDB
Enterprise Edition

GridDB Cloud
Support
 
Professional Service
 
Data Management
Time Series Container
Collection Container
Tree Index
Data Affinity
Table Partitioning
Query Language
TQL
SQL
NoSQL Interface
Java
C
NewSQL(SQL) Interface
JDBC
ODBC  
WebAPI  
Time Series Data
Time Series Analysis
Expiry Release (Data Retention)
Clustering
Cluster Configuration
 
Distributed Data Management
 
Replication
 
Administration
Rolling Upgrade
   
Online Backup
 
Export/Import
Operation Management GUI
 
Operation Command
Security
Data-In-Transit (TLS/SSL)
 
Authentication (LDAP)
   
On Premise On Premise  
Cloud Service Cloud Service    

Download GridDB Community Edition here

Notes

The following condition apply to Community Edition:

・Server

 - Multi nodes configuration is not available.

・Administration

 - Operation commands are limited.

 - For example, full backup, differential / incremental backup, archive storage, etc. cannot be used.

・C client(C API)

 - Spatial data is not supported.