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-# r/nim — [Showcase] BaraDB: A database engine written from scratch in Nim
-
-Hey r/nim! I wanted to share a project I've been working on for the past several months.
-
-**BaraDB** is a multimodal database engine written entirely in Nim — no C/C++ dependencies, no PostgreSQL, no external services. Just Nim.
-
-## What is it?
-
-A single-binary (~3.3MB) database that combines:
-
-- **Document/KV storage** — LSM-Tree with WAL, bloom filters, SSTable compaction
-- **SQL-compatible query language** — BaraQL with SELECT/INSERT/UPDATE/DELETE, JOINs, GROUP BY, CTEs, indexes
-- **Graph engine** — BFS, DFS, Dijkstra, PageRank, Louvain communities
-- **Vector search** — HNSW index with SIMD-optimized distance metrics
-- **Full-text search** — BM25 + TF-IDF with stemming (EN/BG/DE/RU)
-- **Columnar engine** — RLE, dictionary encoding, batch operations
-- **Wire protocol** — binary protocol + HTTP/REST + WebSocket + JWT auth
-- **4 client SDKs** — Nim, Python, JavaScript, Rust
-
-## Architecture
-
-```
-Client Layer     → Binary / HTTP / WebSocket
-Query Layer      → Lexer → Parser → AST → IR → Optimizer → Codegen
-Execution Engine → Document / Graph / Vector / Columnar / FTS
-Storage          → LSM-Tree / B-Tree / WAL / Bloom / mmap
-Distributed      → Raft / Sharding / Replication (core logic)
-```
-
-## Some numbers
-
-- **~15,000 lines** of Nim
-- **269 tests**, all passing
-- **Green CI** (GitHub Actions)
-- **Benchmarks**: B-Tree point lookup ~1.5M ops/s, LSM-Tree writes ~580K ops/s
-
-## What's actually working vs. what's WIP
-
-**Solid:**
-- SQL parser & executor (JOINs, GROUP BY, subqueries, CTEs, indexes)
-- MVCC transactions, deadlock detection
-- LSM-Tree storage with background compaction
-- B-Tree indexes with range scans
-- Wire protocol + clients
-
-**In-memory / proof-of-concept:**
-- Graph, Vector, FTS, Columnar engines (serialization exists, persistence optional)
-- Distributed layer (Raft core logic is there, network transport is stubbed)
-
-**Still rough:**
-- Recursive CTE execution
-- Some edge-case query optimizations
-
-## Why Nim?
-
-Nim's metaprogramming, zero-cost abstractions, and C-like performance made it perfect for building a storage engine without drowning in C++ complexity. The binary compiles to a single static executable — deployment is just `scp`.
-
-## Repo
-
-[github.com/katehonz/barabaDB](https://github.com/katehonz/barabaDB)
-
-Feedback welcome — especially from anyone who's built storage engines before. I know there's a lot left to do, but I'm proud of how far it's come.