High-performance analytical database. DuckDB SQL engine + Parquet storage + Arrow format. 18M+ records/sec ingestion. 6M+ rows/sec queries. Use for analytics, observability, AI, IoT, logs. Single Go binary. S3/Azure native. No vendor lock-in. AGPL-3.0

A DuckDB extension to read data directly from databases supporting the ODBC interface

A simple "columnar database" based on memory-mapped files, written in APL

In-memory Columnar Database

DuckDB driver client in Elixir

Analitik Data IoT dengan Go & ClickHouse

An educational vectorized execution engine

ProtonX — Analytical streaming database engine built from scratch in C++20. MergeTree storage, 6 compression codecs, streaming SQL, PostgreSQL/MySQL/HTTP wire protocols, MVCC, Raft consensus, 800+ SQL functions, SIMD vectorization. 1,129 source files.

🔍 Analyze and manage ClickHouse data efficiently with easy-to-use tools in this scalable, high-performance extension.

OLAP Is The Power (comparison of columnar and relational databases)

🗄️ Simplify data analysis with ClickHouse by using qvz to optimize queries and enhance performance for large datasets.