VQV Signal
BlazeRules is an embeddable decision engine that executes YAML-defined rules on streaming data at speeds up to 5 million records per second. It processes data by converting it into a columnar format for vectorized rule execution.
BlazeRules is an embeddable decision engine that executes YAML-defined rules on streaming data at speeds up to 5 million records per second. It processes data by converting it into a columnar format for vectorized rule execution.
AI-assisted summary based on the listed source.
https://github.com/purijs/blazerules I initially wanted to make a sub-millisecond log parser in C++ but that blew into a embeddable decision engine, that can run YAML defined rules on incoming data. The rules are executed in a vectorized format on incoming data by reprojecting into a columnar format first, if it's...
This engine enables high-speed, flexible rule evaluation on large streaming datasets, which is critical for real-time analytics and decision-making. Its embeddable nature allows integration into various systems requiring fast, rule-based data processing.
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
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