spark-connect-rs
An experimental Rust client for Apache Spark Connect, providing a DataFrame API to interact with Spark clusters.
What is spark-connect-rs?
spark-connect-rs is an experimental Rust client for Apache Spark Connect that allows Rust developers to interact with Apache Spark clusters using a DataFrame API. It solves the problem of integrating Rust applications with Spark's distributed data processing capabilities, providing a native alternative to existing Spark clients in other languages. The project enables data manipulation, streaming, and SQL operations directly from Rust code.
Rust developers and data engineers who need to integrate Rust applications with Apache Spark for distributed data processing, ETL pipelines, or analytics workloads. It's also relevant for teams exploring Rust's potential in big data ecosystems.
Developers choose spark-connect-rs to leverage Rust's performance and safety features while accessing Spark's distributed computing power. It offers a proof-of-concept for Rust-Spark integration, with a growing API surface that mirrors familiar Spark patterns, though it's not yet production-ready.
Overview
Apache Spark Connect Client for Rust
Use Cases
Best For
- Building Rust applications that require distributed data processing with Apache Spark
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