Overview
In the embedded systems market, devices have access to a wealth of data from a variety of sensor data streams and other data sources. Data monitoring and analysis on microcontrollers, microprocessors, and electronic control units is a major challenge that requires specialized embedded database technology that tightly integrates into both the application software and embedded hardware. Microcontrollers with limited resources, such as ROM and RAM, need careful optimization and data compression techniques to fit within the available space. Microprocessors that combine data from across the embedded system need to process data in real-time with strict timing and bandwidth requirements.
ITTIA DB is built for embedded systems, enabling devices to act on data at the source, refine large volumes of time series data and keep only meaningful information. ITTIA DB’s distributed computing framework for data management inside the embedded system brings data from all the sensors and devices together so then can work in harmony. Processing, storing, organizing, and accessing data in proximity the source delivers strong business benefits, faster insights, improved response times, security and low bandwidth costs.
Embedded Systems Data Management and Visualization
Data Management on Modern Embedded Systems
New microcontroller and microprocessor capabilities are enabling developers to gather, combine, and analyze time series data and uncover its value. However, one-off solutions struggle to resolve the data chaos and transform it into intelligence. Information modernization is possible when data can be accessed through a standard query interface where only the data model is customized. Actionable solutions such as forecasting, anomaly detection, and more rely on a data management solution that accelerates the competitive offering of embedded systems and IoT devices by collecting, processing, and preparing data for AI and ML.
Visualization of Embedded Systems Data
Embedded data visualization provides real-time data for systems making timely decisions. It also supports data-driven strategies, helping developers to optimize processes, identify constraints, and manage memory overhead. ITTIA Analitica is a cross platform real-time data observatory and analytics platform for embedded systems to visualize and query ITTIA DB databases. A simple and easy-to-use interface enables visualization and exploring both fresh and historical data. It empowers developers and end-users to execute queries, interact with tables and time series, work with real-time data streams, and create dynamic dashboards.
Why ITTIA DB?
The ITTIA DB product family for embedded systems includes: ITTIA DB Lite for microcontrollers (MCUs), ITTIA DB for microprocessors (MPUs) and ITTIA DB ECU for electronics control units (ECUs). Designed to store, manage, secure, and unlock the hidden value of embedded systems data, these database products are purpose-built technologies for embedded IoT and embedded AI device deployments that scale to many devices. As manufacturers of embedded systems seek to understand data in applications built for smart connected systems, ITTIA DB enables devices to capture and organize data for advanced querying, aggregation, filtering, and more that smooth unrefined raw data and provide quick access to the data that matters.
ITTIA DB for Embedded IoT & AI
To achieve real-time data monitoring objectives, innovations in ITTIA DB are poised to make embedded systems fundamentally benefit from edge data management and processing capabilities. ITTIA DB’s added value includes expansion of data access throughout the entire system, device empowerment for quick decision-making, and time series data analytics. ITTIA DB's AI and ML data enablement empowers embedded systems to use edge devices for analytics, automation, and AI-powered products. ITTIA DB helps to improve resiliency, reliability, scalability, and cost-effectiveness without sacrificing data security. ITTIA DB offers manufacturers easy, cost-efficient methods to run data campaigns across their systems for preventive maintenance, system behavior monitoring, anomaly detection, and more.
Next Step
IoT sensors, connected devices, and machine behaviors fuel the increase of intelligent systems data, necessitating the logging of timestamp-driven actions. As a result, real-time data processing and data management have become critical requirements for embedded system application developers, with data security playing a critical role.
We can offer you a complimentary one-on-one session during which ITTIA professionals will learn about your exact requirements and address your specific application-related questions.
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