sparklling
A fast, fully-featured, and developer-friendly Clojure API for Apache Spark.
What is sparklling?
Sparkling is a Clojure library that provides a native API for Apache Spark, allowing developers to write distributed data processing jobs using idiomatic Clojure code. It solves the problem of integrating Spark's powerful big data engine with Clojure's functional programming paradigm, offering performance optimizations and a developer-friendly interface.
Clojure developers and data engineers who need to perform large-scale data processing, ETL tasks, or analytics using Apache Spark without leaving the Clojure ecosystem.
Developers choose Sparkling for its Clojure-native design, which reduces boilerplate and improves performance over generic wrappers, while providing full access to Spark's features like Spark SQL, Avro support, and JDBC connectivity.
Overview
A Clojure library for Apache Spark: fast, fully-features, and developer friendly
Use Cases
Best For
- Processing large datasets with Clojure's functional programming style
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