Devoted ITTIA DB developers have partnered with STMicroelectronics to provide an exceptional, premium commercial grade data platform for STM32 devices. Organization of data is made easy by ITTIA DB IoT queries, which allow analysis within STM32 applications at the point of origin of each datapoint.
When an edge device needs to store and query sensor data, high performance and scalability need to be achieved with minimum footprint. An embeddable database library offers developers a convenient interface to store time series data on various types of flash media.
Smart sensors and devices are becoming an important part of the Internet of Things. They are continuously changing the way we automate our jobs by employing intelligent systems to improve production of factories, manage smart home energy to monitor and reduce energy costs, and even automate transportation to improve driver safety. Sensors on Edge networks are transmitting data that must be processed for online and offline data analysis so the system can analyze the large quantity flow of data and only store the most valuable information.
The world that we live in is continuously transforming. The way energy is managed at home, the way medical devices manage and monitor our personal health data, and the way devices inside robots improve the production of a factory are all changing. Sensors, sophisticated chips, and an exceptional number of objects are embedded everywhere and are becoming more important in our daily lives in order to produce, transmit and receive data.
Embedded software applications face many challenges that are not present on desktop computers. Memory allocation is an important factor for providing the performance and reliability that is necessary on an embedded device. Storing, organizing, and sharing data makes up a large part of the memory requirements for an application. A device application can use an embedded database library to manage memory more effectively, by both imposing bounds on memory usage and analyzing worst-case behavior in a consistent way.
Data modeling is a design technique used by developers to help understand complex problems involving interrelated information. This technique originates in enterprise databases where hundreds of tables can store billions of records.
Developers and managers often start their projects with a set of questions. What are the important characteristics for selecting an embedded database for an industrial automation system? What can a database offer beyond recovery from power failure, preventing data loss, or reducing flash media wear? What are the hidden costs when selecting an embedded database? In this whitepaper we share how a reliable embedded database, like ITTIA DB SQL, is a one-stop resource for industrial automation data management.
Renesas selected ITTIA to independently demonstrate the benefits of the right software and hardware technologies for the Internet of Things (IoT) data management for realizing the future and full potential of data. After several months of research, investigation and collaboration, our results are reflected and shared in this white paper.
Developers face unique challenges when designing and implementing software for custom embedded hardware. Embedded processor architectures, such as ARM and PowerPC, each have unique characteristics. Footprint and performance are especially important, and access to source code for all software components is required for customization and portability. In this whitepaper you will discover how embedded developers can break the performance, reliability, portability, and interoperability barriers of flat file formats through embedded database.
The Internet of Things (IoT) is transforming our lives. Everything around us is rapidly being controlled by real-time data from various technologies that work together to automate and make things intelligent, from vehicles and buildings to roads and cities.
ITTIA DB SQL© and VxWorks© are ideal for embedded device manufacturers and Internet of Things development. In both products, developers can select the precise combination of features and components to support specific target hardware and firmware requirements. This shared design philosophy drives down per-unit costs and improves efficiency when applications are integrated with ITTIA DB SQL and VxWorks.
In this white paper, our goal is to introduce an option so manufacturer of devices, including industrial automation systems, benefit from an integrated solution platform for building edge devices to continuously collect large volume of data, make sense of it, and effectively distribute only the meaningful information. To do that, it is important to select the right database, proper data distribution software, and safe real time operating system.
ITTIA DB SQL and Micrium μC/OS are leading-edge technologies for embedded systems and Internet-of-Things devices, designed for high performance in mission-critical applications. Software developers use these products to create intelligent multitasking firmware deployed in homes, businesses, and industry throughout the world. Rather than simply storing logs and raw data, this software performs sophisticated processing on the devices themselves. In this way, information is refined and correlated before it is communicated to back-end systems and other devices.
With Android's worldwide smartphone market dominance and the availability of inexpensive high-capacity SD Cards, it is easier than ever to build a distributed network of data-driven applications. This white paper discusses the design implications of database storage on Android devices, including the importance of performance tuning, scalability, and data distribution. Learn how ITTIA DB SQL can add robust data management capabilities to any Android application.
Gas, electric, and water metering systems are rapidly evolving into complex smart energy networks, driven by the need for more precise and timely information about energy usage and by new technologies that allow remote, two-way communication through the utility network, as far as the grid edge. Manufacturers building these communication networks need to select the right combination of data management software and the communication capabilities to accommodate it to turn their data-driven applications into embedded decision-making machines.
Intelligent embedded systems and devices that produce and consume information are the basis for innovative new products that make informed decisions to improve our everyday lives. While these products span every market, including medical devices, industrial automation, home automation, appliances, automotive, and many more, their defining characteristic is the capacity to both collect and process data.
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