sparklyr is an R package that provides seamless interfacing with Apache Spark clusters—either local or remote—while letting users write code in familiar R paradigms. It supplies a dplyr-compatible backend, Spark machine learning pipelines, SQL integration, and I/O utilities to manipulate and analyze large datasets distributed across cluster environments.
Features
- Connects to Spark via YARN, Mesos, Kubernetes, Livy or local mode
- Enables dplyr-style data transformation on Spark DataFrames
- Supports SQL queries and ML pipelines (ml_* API)
- Includes tools for distributed computing, window functions, streaming
- Extensible with packages like sparkxgb, graphframes, H2O
- Handles reading/writing CSV, Parquet, JSON, and caching operations
Project Samples
Categories
Data ManagementLicense
Apache License V2.0Follow sparklyr
You Might Also Like
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of sparklyr!