What is GridDB?

Cyber-physical system: autonomous driving, smart grid, smart factory, smart building ...

A cyber-physical system collects various data in the physical space (real world), analyzes and knowledges it in the cyber space by making full use of large-scale data processing technology, and uses the information and value created there. We will work to revitalize the industry and solve social problems. A cyber-physical system that realizes an advanced society needs a platform that processes the huge amount of time-series data generated by the IoT in real time.

GridDB is an open database that meets the requirements for realizing a cyber-physical system.

With the features of GridDB, it is easy to build a data infrastructure that processes the huge amount of time series data generated by IoT in his real time.


GridDB is committed to open innovation to quickly build cyber physical systems. Maximize the power of the ecosystem and accelerate collaboration with leading open source software and vendors to quickly realize advanced systems. Through open community activities, we gather awareness of issues, experience and wisdom. We are creating new value.

We provide quality-guaranteed and controlled products and support for application to mission-critical systems. GridDB can be used with confidence as a database product that supports your business.

What is Time Series Data?

Time series data is a series of values ​​with time information (time stamp) that are generally recorded ​​at regular intervals. Specific examples of time series data include temperature recorded  every set number of minutes or the closing price of a stock at the end of each trading day.

In an Internet of Things (IoT) application, a large amount of time series data is acquired from a variety of sensors such as a temperature sensor, a voltage sensor, an illuminance sensor, or an image sensor that records at intervals of a minute, a second, or even sub-second.

A database is not absolutely necessary, but the following functions are usually required:

  • Store large amounts of streaming data.
  • Handle frequent data loss and reference data inconsistencies.
  • Data can be retrieved using either a time stamp or range.
  • Able to query the data using the sensor ID as a key.


If these functions are provided the sensor data can be plotted in real time with the horizontal axis as time and used for monitoring purposes. The correlation of various sensor values ​​within a certain time period can also be examined with various analysis methods or visualizations.

GridDB supports these functions and has unique features specialized for IoT applications and time series data functionalities that other databases do not have.

GridDB Features

Time Series Data Management

Take control of your time series data with data retention policy and perform aggregation in GridDB

Petabyte-Scale Performance

Elastically scale to the petabyte level as your time series data grows without sacrificing performance

Highly Available and Reliable

GridDB cluster is reliable and automatically heals itself in the case of failure without any downtime

Developer- Friendly API

Leverage your developers knowledge of SQL, utilize the fast NoSQL interface, and connect to a variety of 3rd party applications

GridDB Performance

Other Performance Benchmarks:

GridDB performance vs MariaDB


GridDB performance vs InfluxDB


GridDB performance vs Cassandra


Use Cases

Predictive Maintenance

Preserve your historical data and perform regression or classification modeling to predict equipment failure

Digital Twin

Create digital replicas of your equipment by storing sensor data in GridDB, performing data analysis and visualizing your data

Smart Metering

Monitor and control energy consumption by collecting smart meter data, and adjust pricing according to demands

Asset Tracking / Monitoring

Track and monitor your asset by storing time series and geospatial data of your devices, and perform real time analytics and decision-making

Case Studies

Denso Corporation

Denso selected Toshiba as a partner to implement Factory IoT. Productivity has significantly improved three months since the introduction.

Toshiba Machine Corporation

Supporting Toshiba Machine "IoT + m Platform" at the manufacturing site.

Electric Power Company

A large-scale implementation of smart meter for power retail system. High speed processing of data is realized.