Prototype implementations of database internal concepts and algorithms in Golang.

An eBPF based query planning tracer for PostgreSQL

Distributed SQL database in Rust, written as a learning project about my journey on the database and rust.

A small relational database forked from http://research.cs.wisc.edu/coral/mini_doc/minibase.html

PostgreSQL extension to debug table scans. The extension is intended to illustrate MVCC in PostgreSQL.

A minimal educational relational database management system (RDBMS) implemented in Java 17. The project demonstrates a custom SQL processing pipeline, including lexer, parser, semantic analysis, query planning, optimization, and execution. It features a storage engine with heap pages, a buffer pool, and supports indexing using B-trees and Hash

A B+ Tree based key-value store.

trying to learn DB internals by building a simple storage engine

Oru naadan Database.

A practical, engineering-focused course on databases—from queries to storage internals.

Learning database internals

This SQL Parser Repository aims to offer in-depth insights into SQL parsing, covering lexical analysis, syntax parsing, semantic validation, and query optimization. It's a work in progress, with ongoing updates planned to include detailed documentation, code examples, and practical exercises.

A high-performance, persistent B+ Tree implementation in Rust featuring a pluggable storage engine architecture. Built for durability and extensibility, it supports custom block storage backends, unified node structures, and atomic writes for crash safety. Ideal for building custom databases, metadata indexes, or embedded key-value stores.

A Log-Structured Merge-Tree (LSM) storage engine implemented in C++ featuring a SkipList-based MemTable, a CRC32-protected Write-Ahead Log (WAL) for crash recovery, and size-tiered compaction. The engine includes an integrated telemetry suite to quantify the mathematical tradeoffs of LSM architectures.

Interactive visualizations for database internals — indexing, replication, partitioning, transactions, consensus, and encoding — with step-through Canvas animations.

learning data, databases, distributed compute, orchestration and alot more Data Engineering concepts for fun.

A PostgreSQL time-travel tool that reconstructs historical row versions from WAL, allowing primary-key lookups as of a point in time for forensic debugging and data verification.

Hands-on PostgreSQL guide with Docker labs covering internals, performance, replication, HA, backup/recovery, and advanced SQL

Knowledge base covering database internals -- storage engines, data models, consistency guarantees, consensus algorithms, replication, and compaction strategies.

A robust B+ Tree data structure implementation in C, featuring dynamic node splitting and indexing mechanics, designed for file system and database applications.