ITTIA DB Platform

Real-Time Embedded Data Management Software for Edge AI

 

Act on Insights with Devices Where Data is Created

Edge data processing and management bring computation, intelligence, and storage directly to where data is generated, enabling faster insights, real-time actions, improved data control, reduced operational costs, and uninterrupted operation even without cloud connectivity.

 

ITTIA delivers a production-grade edge data management platform designed to meet the scale, performance, and security demands of modern Edge AI systems, helping engineering teams modernize embedded device development and deploy reliable, intelligent solutions at the edge.

 

What Does ITTIA DB Platform Offer?

The ITTIA DB Platform family delivers a unique combination of transactional tables, streaming ingestion, and time-series data management within a single, modern database technology, purpose-built for embedded IoT and Edge AI systems. By unifying multiple data engines into one deterministic platform, ITTIA DB Platform enables embedded devices to ingest, store, query, and analyze data efficiently where it is created, supporting real-time decision-making and on-device AI inference.

 

ITTIA DB* is high-performance real-time embedded edge data management software for 32-bit and 64-bit multicore microprocessors (MPUs). ITTIA DB Lite* is a small-footprint real-time embedded edge data management for resource-constrained 32-bit microcontrollers (MCUs). Both products enable devices to monitor, process, and store real-time data.

 

Designed specifically for edge environments, ITTIA DB products focus on real-time data management and analytics for IoT sensor data, application metrics, operational telemetry, and AI-ready data pipelines. This architecture allows developers to build intelligent embedded systems that operate reliably under tight resource constraints while delivering fast insights and continuous operation at the edge.

 

The ITTIA DB product family also includes ITTIA Analitica, a data visualization and monitoring platform designed for Edge AI and embedded systems. ITTIA Analitica enables developers to observe live and historical data sources and quickly create on-device visualizations such as tables, charts, and graphs—without relying on cloud infrastructure.

 

With ITTIA Analitica, embedded systems can gather, correlate, and visualize data from multiple sources across microcontrollers (MCUs), microprocessors (MPUs), and electronic control units (ECUs). Together, ITTIA DB and ITTIA Analitica provide a complete foundation for data-driven and AI-enabled embedded systems, from real-time ingestion and analytics to visualization and operational insight at the edge.

 

*ITTIA DB was formerly known as ITTIA DB SQL. ITTIA DB Lite was formerly known as ITTIA DB IoT.

ITTIA SDL is Conformant to the Principles of IEC/ISO 62443

ITTIA DB Platform diagram

Automate Device Data

ITTIA DB Platform integrates seamlessly with autonomous and Edge AI applications: zero admin, small footprint & great performance.

Act on Device Insights

ITTIA DB Platform integrates computation & storage to support Edge AI, delivering data control & continuous real-time operation.

Secure Edge Development

Protect sensitive data with ITTIA DB Platform security at the edge & enable trusted device data management.

Capabilities

Real-Time Embedded Data Management Software Designed for Edge AI

background image of a roboto and ITTIA DB logo at the foreground

Transactional Engine

Experience high throughput, low query latency with always-on transactions and high availability for real-time data management.

Data Streaming Engine

Execute data stream processing for continuous analysis of massive volumes of data moving inside embedded systems applications.

Time Series Engine

Capture and query time series data for real-time analytics on embedded systems with aggregation, filtering, forecasting, and more.

Edge AI systems must eliminate fragile and complex pipelines between data storage, analytics, and AI processing, which often introduce latency, maintenance overhead, and points of failure in embedded environments. The ITTIA DB Platform unifies streaming ingestion, transactional updates, analytics, and AI inputs within a single in-process architecture. By providing direct in-process data access, ITTIA DB removes the need for external files, scripts, or glue layers, resulting in a simpler, more reliable, and deterministic data pipeline that is well suited for real-time and mission-critical Edge AI systems.
Edge AI systems must natively handle continuous sensor streams and time-based windows in order to extract meaningful features, detect anomalies, and make timely decisions from high-frequency data. The ITTIA DB Platform provides purpose-built time-series storage optimized for embedded systems, enabling efficient lag, delta, aggregation, and sliding-window queries directly on device. This architecture is designed to handle high-frequency IoT signals with deterministic performance, allowing Edge AI applications to process, analyze, and respond to sensor data in real time without relying on external infrastructure.
Edge AI systems must prepare and structure data appropriately for machine learning and on-device AI inference, ensuring that models receive consistent, high-quality inputs derived from real-world sensor and operational data. The ITTIA DB Platform provides structured support for feature such as sliding windows, and contextual data directly on the device. By enabling data cleaning, validation, and feature preparation as part of the data pipeline, ITTIA DB ensures that AI and ML models receive clean, reliable, and well-formed inputs, improving inference accuracy and robustness in Edge AI deployments.
Edge AI systems must clean and validate data before inference to ensure that AI models operate on accurate, trustworthy inputs and to prevent noise, faults, or corrupted data from degrading model performance. The ITTIA DB Platform performs on-device data cleaning and validation through anomaly filtering, range checks, and query statements. By enforcing data quality directly at the edge, ITTIA DB prevents invalid or noisy data from reaching AI models, improving inference reliability and ensuring consistent, production-grade Edge AI behavior.
Edge AI systems must protect sensitive data that feeds AI models to prevent unauthorized access, tampering, or misuse, ensuring that decisions are based on authentic and trustworthy information. The ITTIA DB Platform secures data at the edge through encryption, robust access control mechanisms, and tamper-resistant storage. By safeguarding data integrity and confidentiality directly on embedded devices, ITTIA DB ensures that AI models operate on trusted data, enabling reliable, secure, and production-grade Edge AI outcomes.
Edge AI systems require a single, consistent architecture that can scale from small, resource-constrained devices to more powerful embedded platforms as products evolve. The ITTIA DB Platform scales seamlessly from microcontrollers (MCUs) to multicore microprocessors (MPUs) and electronic control units (ECUs) while preserving the same APIs and data model. This unified architecture allows teams to reuse designs, software, and expertise across product generations, supporting Edge AI adoption and product evolution without costly redesigns.
Edge AI systems must provide clear visibility into system behavior and AI operation so developers can understand performance, detect issues, and build trust in autonomous decisions. ITTIA Analitica delivers on-device metrics, health indicators, and visualization of both live and historical data. This observability enables engineers to monitor system behavior, inspect AI inputs and outcomes, and debug issues directly at the edge, significantly increasing transparency, trust, and debuggability of Edge AI systems.
Edge AI systems must deliver traceable, auditable, and deterministic behavior to support accountability, safety, and compliance in regulated and mission-critical environments. The ITTIA DB Platform provides predictable execution and persistent audit logs that enable traceability of data and system behavior over time. Designed with determinism and reliability at its core, ITTIA DB supports the needs of regulated and safety-critical Edge AI applications, helping organizations meet compliance requirements while maintaining trustworthy, repeatable system behavior.

Related Content

Discover how to develop advanced applications utilizing our smart edge data management and analysis platform.

Start Your Free Trial Today!
blue background image with ITTIA DB logo at the foreground