HubLensTrendingbytedance/bolt
// archived 2026-04-21
bytedance

bolt

Database#C++#Data Processing#Apache Spark#Performance#Query Engine
View on GitHub
151

// summary

Bolt is a high-performance C++ acceleration library designed to provide composable and extensible data processing capabilities. It offers unified interfaces that integrate seamlessly with various frameworks, hardware architectures, and data storage formats. The project emphasizes an open-source-first philosophy while delivering enterprise-grade performance, consistent results, and feature parity for analytical workloads.

// technical analysis

Bolt is a C++ acceleration library designed as a composable and performant data processing toolkit that serves as a physical execution layer for various database management systems. By providing unified interfaces, it enables seamless integration with diverse frameworks like Spark, Presto, and ElasticSearch, while supporting multiple hardware architectures and storage formats. The project prioritizes an 'Open Source-First' philosophy, emphasizing community governance and transparent development to ensure enterprise-grade performance, result consistency, and feature parity.

// key highlights

01
Provides a unified, pluggable interface that allows existing frameworks to leverage high-performance C++ execution across different hardware.
02
Implements adaptive task parallelism to optimize resource utilization and improve overall query execution speed.
03
Utilizes native memory management with dynamic off-heap thresholds to ensure efficient memory usage in data-intensive workloads.
04
Features operator fusion and JIT compilation for hotspot expressions to minimize overhead and maximize throughput.
05
Supports native shuffle operations to accelerate data movement between processing stages in distributed environments.
06
Maintains broad compatibility with popular storage formats including Parquet, ORC, and Paimon to ensure seamless data integration.

// use cases

01
Accelerating analytical frameworks like Spark, Presto, and ElasticSearch
02
Providing native memory management and adaptive task parallelism
03
Supporting diverse storage formats including Parquet, ORC, and Paimon

// getting started

To begin, clone the repository and execute the provided setup script to configure your development environment and install dependencies via Conan. You can then build the library for specific frameworks like Presto or Gluten using the provided Makefile commands. Finally, integrate Bolt into your project by referencing it as a third-party dependency in your build configuration.