Real-time database systems are critical components in many embedded applications, and a number of different types of implementations and algorithms exist depending on the application. McObject provides a range of embedded database solutions, including its latest: eXtremeDB 9.0.

Nearest neighbor search (NSS) is a useful tool, and on that front, the Approximate Nearest Neighbor (ANN) is an indexing option in eXtremeDB 9.0. ANN search algorithms can quickly find data very close to the query as opposed to k-nearest neighbor (KNN) searches that are computationally expensive, O(N) versus O(log N). This support is critical for lightweight edge IoT clients to handle workloads like sensor fusion, pattern recognition, machine learning, and artificial-intelligence inference.

The database is designed to operate in a resource-constrained environment. It can operate with less than 8 kB of memory while handling structured, transactional data. It’s able to run as a write-only database as well. The system can handle multiple and related record types, preserving referential integrity before transmitting data upstream for applications like sensor nodes and embedded controllers.

“Version 9.0 has improved MVCC transaction scheduling, performance optimizations for the Python, Java, and C# APIs, support for .NET 8 and later while continuing support for the .NET Framework, Python support through version 3.14, persistent kernel runtime parameters that eliminate configuration drift across restarts, enhanced time-series analytics, support for additional SSL/TLS libraries including wolfSSL and Mbed TLS, and an expanded REST API.”