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ByteDB is an advanced SQL query engine specifically designed for querying Parquet files. This open-source project enables developers to run SQL queries directly on Parquet columnar data format, providing an efficient way to analyze structured data without requiring a full database setup.

cloudimpl/ByteDB: Advanced SQL Query Engine for Parquet Files

Kavinda Jayakody

Introducing ByteDB: A Distributed SQL Engine for Parquet at Scale

ByteDB is a powerful open-source SQL query engine, built in Go, purpose-built for analyzing large Parquet datasets with both local and distributed deployment. ByteDB supports comprehensive SQL—including JOINs, subqueries, aggregates, window functions, and CASE expressions—and offers a blazing-fast distributed query execution model across multiple nodes.

* 🚀 Distributed Execution: Horizontally scale your Parquet queries with multi-node processing, physical data partitioning, and cost-based query planning—achieving up to 99.99% network transfer reduction.

* ⚡ Advanced Performance Optimizations: Features like Top-K ORDER BY + LIMIT optimization, Bloom filter acceleration, and type-safe columnar reads deliver state-of-the-art analytics performance.

* 📋 Full SQL Compatibility: Enjoy rich SQL syntax, including complex joins, window functions, scalar and correlated subqueries.

* 📊 Real-time Monitoring: Comes with a modern dashboard and Prometheus integration for end-to-end query lifecycle and cluster health visibility.

* 🛠️ Flexibility & Simplicity: Query Parquet files with or without table registration, use DuckDB-style table functions, and manage schema via a pluggable catalog system.

* ✅ Tested & Transparent: Rigorous SQL testing framework and Go unit tests keep the engine robust and developer-friendly.

Whether you’re building fast analytical dashboards or need scalable ad hoc SQL on Parquet, ByteDB brings distributed scale and columnar speed—without sacrificing developer ergonomics.

Explore ByteDB → https://github.com/cloudimpl/ByteDB/blob/main/backend/README.md

<p>Introducing ByteDB: A Distributed SQL Engine for Parquet at Scale

ByteDB is a powerful open-source SQL query engine, built in Go, purpose-built for analyzing large Parquet datasets with both local and distributed deployment. ByteDB supports comprehensive SQL—including JOINs, subqueries, aggregates, window functions, and CASE expressions—and offers a blazing-fast distributed query execution model across multiple nodes.

* 🚀 Distributed Execution: Horizontally scale your Parquet queries with multi-node processing, physical data partitioning, and cost-based query planning—achieving up to 99.99% network transfer reduction.

* ⚡ Advanced Performance Optimizations: Features like Top-K ORDER BY + LIMIT optimization, Bloom filter acceleration, and type-safe columnar reads deliver state-of-the-art analytics performance.

* 📋 Full SQL Compatibility: Enjoy rich SQL syntax, including complex joins, window functions, scalar and correlated subqueries.

* 📊 Real-time Monitoring: Comes with a modern dashboard and Prometheus integration for end-to-end query lifecycle and cluster health visibility.

* 🛠️ Flexibility &amp; Simplicity: Query Parquet files with or without table registration, use DuckDB-style table functions, and manage schema via a pluggable catalog system.

* ✅ Tested &amp; Transparent: Rigorous SQL testing framework and Go unit tests keep the engine robust and developer-friendly.

Whether you’re building fast analytical dashboards or need scalable ad hoc SQL on Parquet, ByteDB brings distributed scale and columnar speed—without sacrificing developer ergonomics.

Explore ByteDB → https://github.com/cloudimpl/ByteDB/blob/main/backend/README.md</p>

<p>This looks great! Would love to contribute to the project if there’s a chance</p>
