FreeRTOS, STM32, and ITTIA DB Lite together form a production-grade platform for Edge AI data management, processing, and analytics. FreeRTOS guarantees real-time determinism, STM32 delivers scalable and capable hardware, and ITTIA DB Lite provides the reliable data foundation that AI systems…
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ITTIA DB Platform achieves edge data cleaning and preparation by running directly on the device to turn raw sensors burst into structured, trustworthy, AI-ready records, deterministically. It timestamps and orders samples on ingest, enforces schemas and units, applies constraints and outlier rules…
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ITTIA DB Lite is a purpose-built data engine engineered specifically for MCUs, delivering a tiny memory footprint, real-time responsiveness, crash-safe reliability, ISR/DMA-aware ingestion, deterministic operations, and a safety-ready design suitable for automotive, medical, and industrial…
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Running ITTIA DB Lite on FreeRTOS lets MCU devices ingest, store, query, and learn from high-rate sensors deterministically, with crash safety, flash endurance, and built-in security.
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ITTIA DB Lite and IAR Embedded Workbench together deliver a uniquely powerful foundation for MCU-based embedded systems by combining a compact, high-performance database engine with a world-class optimizing compiler and advanced debugging environment.
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There’s a quiet moment in every embedded project when the team finally admits it: “We can’t keep building everything from scratch.” It usually happens somewhere between the third rewrite of the ring buffer, the second all-nighter debugging a corrupted flash log, and the uncomfortable realization…
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The ITTIA DB Platform turns the STM32H7 from a fast controller into a smart, self-reliant data node by combining three components: ITTIA DB Lite for MCU-grade, power-fail-safe data management with deterministic ingestion, compact time-series/indexed storage (even vector support) and tiny footprint…
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This is why developers are turning to ITTIA DB Lite for STM32 devices. It allows embedded systems to perform real-time data stream processing, ingesting, transforming, and analyzing data the moment it arrives. Unlike traditional approaches that rely on batch uploads and cloud-based workflows, ITTIA…
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Drones and unmanned vehicles are moving into the work we don’t want humans to do: inspecting bridges and powerlines, monitoring crops and coastlines, detecting gas leaks, mapping disaster zones, supporting first responders, and streamlining site-to-site logistics. Even consumer use is growing,…
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The future of embedded systems data management lies in integrating lightweight, real-time databases with AI-enabled edge processing, allowing devices to collect, analyze, and act on data autonomously.
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In the evolving landscape of edge computing and intelligent devices, STM32-based systems running on RTOS platforms are no longer passive control units, they are now expected to act, adapt, and learn from real-time data.
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Powerful STM32 devices sit at the edge with fast sensors, tiny RAM/flash, and real-time deadlines, so data management can’t be an afterthought. A time-ordered, deterministic data layer lets control loops hit worst-case timing, survives brownouts with crash-safe commits, and preserves media with…
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Some folks say a blog should never mention a product; it sounds too salesy. I disagree. When a technology has been built over years, shaped by real customer feedback, and proven in the field, it deserves to be talked about clearly and proudly.
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Artificial intelligence at the edge is transforming how devices collect, process, and act on data in real time. AI edge enablement relies on efficient data processing and management to deliver intelligent insights directly where data is generated, eliminating the need to constantly depend on cloud…
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The IoT+AI combo is changing everything from smart homes and wearables to industrial automation and connected cars. But while everyone talks about big data and machine learning, the real game-changers often get overlooked: data management at the edge software, real-time operating systems, and…
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The buzz around IoT and AI is loud—and for good reason. Smart devices are everywhere, and AI is the brain behind the scenes. But none of it works without three unglamorous but critical pieces: data management, RTOS (Real-Time Operating Systems), and microcontrollers. These are the plumbing, the…
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Data management for microcontrollers such as STM32 devices play a crucial role in modern automation by enabling real-time data collection, processing, and control, which is essential for optimizing processes, improving efficiency, and ensuring safety at the place of origin. For the edge…
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The future of embedded devices will be built on software and data management fundamentals. Embedded edge data management enables device applications to process and manage data locally, near the source, within embedded systems or edge devices. This approach offers benefits like reduced latency,…
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