Aegis-DB – Multi-paradigm database in Rust,in production
Six data models in one binary, but no proof of production use or comparison benchmarks.
Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency
Sub-microsecond streaming SQL via zero-alloc hot path; genuine advancement over SQLite+DataFusion.
Fintech engineers, IoT backend developers, real-time analytics teams needing edge-deployed databases
SQLite (embedded) · ClickHouse (streaming SQL) · Kdb+ (financial timeseries)
Six data models in one binary, but no proof of production use or comparison benchmarks.
Unified SQL, graph, and vector engine when Neon and pgvector already split these concerns.
Unifies SQL, graph, and vector data in one Rust engine, but still in early alpha.
Rust-built Postgres wire server with native graph and vector support.
Using a single-file .pardus format with CREATE/INSERT/SELECT + SIMILARITY queries gives a very familiar developer UX for embedding storage. The combination of graph-based ANN, full transactions, thread-safety, and zero external dependencies is an uncommon and useful engineering combo for local-first AI work; it would win more attention with benchmark comparisons and richer ecosystem integrations (connectors/clients).
Real-time audio DSP in pure Swift, zero allocs in render threads—rare and performant.