Webinar: How to Experience Strong Performance for Embedded Time Series Data

With millions of devices, each with certain characteristics and computing capabilities, which benchmark activities and metrics relate to your application and embedded computing environment?

Embedded database benchmarking is not rocket science, but delivering the best results is an accomplishment. Database benchmarking is a proven and clearly defined method for analyzing and comparing the performance characteristics of data behavior. How do you create or select a benchmark that accurately reflects your real-world requirements?

We are excited to invite you to our upcoming webinar, free of charge, in which we openly share what we have learned over many years. You can also experience and test drive the new release of ITTIA DB for embedded systems and IoT devices.

Join us and learn how to rely on, select, or build strong data management benchmarks relating to embedded systems (MCUs, MPUs, and ECUs). Discover how ITTIA DB dual engine performance and resilience on modern embedded systems will add value to your application. We will present our showcase on Linux and RTOS platforms:

• Sensor ingestion throughput metrics
• Database query response latency, and performance
• Full data export and connection measurements
• Data compactness and storage costs
• Continuous monitoring and performance loss avoidance

ITTIA DB empowers the most critical workloads (storing and searching time series, events, etc.) and metrics for edge device data computing. Our intelligent engine is architected to offer the best embedded data management performance. Performance, reliability, and efficiency have always been a strong focus in our product architecture and development. Database benchmarking must provide reliable, quantifiable, and assuring answers. How do you conduct one?