An adaptive storage engine that optimizes itself in real-time.
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Efficient Storage Implementation - High-performance storage primitives designed for modern hardware.
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Real-time Parameter Tuning - Automatically adjusts configuration to achieve optimal performance for any workload.
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Full Hardware Utilization - Maximizes the use of all allocated hardware resources.
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Dynamic Resource Allocation - Supports online adjustment of hardware resource quotas while maintaining optimal workload performance.
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Workload Pattern Detection - Furrow does not analyze or classify workload patterns. This responsibility belongs to upstream consumers.
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Distributed Storage - Furrow is a single-node storage engine. Distributed coordination and replication are out of scope.
We chose Rust for two key reasons:
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No Garbage Collection - GC languages introduce unpredictable latency spikes, making them unsuitable for high-performance storage systems where deterministic performance is critical.
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Best-in-class AI Agent Training Data - Among non-GC languages (C, C++, Rust), Rust has the highest quality training corpus for AI agents. This enables better automated code generation, review, and maintenance—critical for a project designed to be AI-assisted throughout its lifecycle.
Apache-2.0