CocoIndex

Minimizes recomputation by processing only changed data and reusing cache, as emphasized in the features for keeping data fresh with minimal overhead.

Provides out-of-the-box observability into all data before and after transformations, ensuring traceability without extra setup, as highlighted in the key features.

Uses a declarative approach where transformations create new fields based solely on inputs, avoiding hidden states and simplifying pipeline creation, as described in the philosophy.

Core engine written in Rust delivers ultra-fast data processing, making it suitable for intensive AI workloads, as noted in the description and features.