It is a highly scalable, in-memory NoSQL time series database optimized for IoT and Big Data. It has a KVS (Key-Value Store)-type data model that is suitable for sensor data stored in a timeseries. It is a database that can be easily scaled-out according to the number of sensors.
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companies
We have data on 1 companies that use GridDB. Our GridDB customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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Technoloy Usage Stadistics and Market Share
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GridDB is used in 0 countries
There are 17 alternatives to GridDB
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
GridDB is an innovative technology that falls under the category of In-Memory Databases. It is designed to provide high-speed processing and real-time analytics capabilities for modern data-intensive applications. GridDB utilizes an in-memory computing approach, which means that data is stored in the system's memory for rapid access and processing. This allows for quick retrieval and manipulation of data, making it ideal for applications that require fast data processing and analysis.
Founded in 2013 by Toshiba Corporation, GridDB was created with the goal of addressing the increasing demand for high-performance database solutions in the era of big data and IoT (Internet of Things). The motivation behind GridDB's development was to provide a scalable and efficient database system that could handle the massive volumes of data generated by IoT devices and other sources in real-time. Since its inception, GridDB has gained recognition for its speed, reliability, and scalability in handling large datasets.
In the current market landscape, GridDB holds a competitive position within the realm of In-Memory Databases. While exact market share figures can vary, GridDB has been steadily growing its user base and gaining traction among organizations looking for high-speed database solutions. With the increasing emphasis on real-time data analytics and the need for faster processing speeds, GridDB is poised for further growth in the future. Its efficient data handling capabilities and robust features are expected to fuel its expansion and solidify its position in the market.
You can access an updated list of companies using GridDB by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 1 companies that use GridDB.
GridDB is used by a diverse range of organizations across various industries, including . For a comprehensive list of all industries utilizing GridDB, please visit TheirStack.com.
Some of the companies that use GridDB include 株式会社ディー・オー・エス and many more. You can find a complete list of 1 companies that use GridDB on TheirStack.com.
Based on our data, GridDB is most popular in . However, it is used by companies all over the world.
You can find companies using GridDB by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
