Distributed SQL database in Rust, written as an educational project

The Art of Problem-Solving in Software Engineering: How to Make MySQL Better

★ Fullfast transactional key-value memory-mapped B-Tree storage engine without WAL ★ Widely used by Ethereum, cryptocurrency industry and thousands of other projects ★ Surpasses the legendary LMDB in terms of reliability, features and performance.

A Modern Embedded SQL Database written in Rust

Elixir embedded key/value database

NornicDB is a low-latency, graph + vector, MVCC DB with sub-ms HNSW search + graph traversal + sub-ms writes, uses Neo4j (Bolt/Cypher) and qdrant's gRPC drivers so you can switch with no changes, then adding intelligent features like managed embeddings, LLM inference, HNSW+rerank search, GPU acceleration, Auto-TLP, Memory Decay, and MCP server.

Authenticated multi-version database: sparse binary merkle tree with compact partial-tree proofs

High-performance distributed KV storage based on LSM Tree

Open-source bLSM-like storage engine for highly concurrent, transactional key-value storage.

An embedded, in-memory, zero-copy, atomicity, consistency, isolation, MVCC, almost lock-free and serializable snapshot isolation database engine.

A transactional key-value database written in Go for Linux and macOS

Independent ground-up Rust reimplementation of SQLite with concurrent writers and information-theoretic durability

Optimistic multi-version concurrency control (MVCC) for main memory databases, written in Rust.

Pillars for Transactional Systems and Data Grids

Ultra fast compact embedded database for tabular and semistructured data.

A lock-free thread-safe concurrent SkipMap implementation based on ARENA skiplist which helps develop MVCC memtable for LSM-Tree.

LeanStore is a B-tree based key-value storage library with high throughput and full ACID transactions.

Storage algorithms.

a tiny database with ARIES recovery algorithm (WAL and Fuzzy Checkpoint) to achieve ACID

Ultra fast, compact, Embedded Database for tabular and semistructured data.