Apache Spark is an open-source, distributed computing system designed for big data processing and analytics, offering an alternative to traditional MapReduce models with improved performance and ease of use. It provides a unified analytics engine capable of handling large-scale data processing tasks efficiently by leveraging in-memory computation and a resilient distributed dataset (RDD) framework. Spark supports a variety of programming languages such as Java, Scala, Python, and R, enabling developers to build sophisticated data pipelines with ease. Additionally, it integrates seamlessly with a variety of data sources like Hadoop Distributed File System (HDFS), Apache HBase, and Apache Cassandra, among others. The ecosystem includes libraries for SQL (Spark SQL), streaming data (Spark Streaming), machine learning (MLlib), and graph processing (GraphX), making it highly versatile in addressing a wide range of data processing and analytic workloads across various industries. For application developers, Apache Spark provides the tools to scale applications efficiently and handle complex data transformations, ultimately enabling faster insights from data-intensive applications.
View the most prominent open source Apache Spark projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- Apache Spark - A unified analytics engine for large-scale data processing☆41,366Updated this week
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- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,515Updated 2 months ago
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- Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and …☆14,023Updated this week
- Apache Doris is an easy-to-use, high performance and unified analytics database.☆13,857Updated this week
- 专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...☆10,161Updated last year
- 🧙 Build, run, and manage data pipelines for integrating and transforming data.☆8,382Updated last week
- An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Tr…☆8,100Updated this week
- Python SQL Parser and Transpiler☆7,912Updated this week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,210Updated this week
- Alluxio, data orchestration for analytics and machine learning in the cloud☆7,014Updated 2 months ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,757Updated this week
- Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.☆6,505Updated last week
- macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime …☆6,199Updated 2 years ago
- Simple and Distributed Machine Learning☆5,145Updated last week
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- PipelineAI☆4,170Updated last year
- State of the Art Natural Language Processing☆3,999Updated this week
- TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.☆3,872Updated last year
- The Hunting ELK☆3,853Updated last year
- A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others☆3,688Updated 2 weeks ago
- 酷玩 Spark: Spark 源代码解析、Spark 类库等☆3,488Updated 3 years ago
- 🔨 用 JSON 来生成结构化的 SQL 语句，基于 Vue3 + TypeScript + Vite + Ant Design + MonacoEditor 实现，项目简单（重逻辑轻页面）、适合练手~☆3,458Updated last year
- Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.☆3,434Updated this week
- Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications…☆3,376Updated last month
- DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitizati…☆3,186Updated 2 months ago
- Interactive and Reactive Data Science using Scala and Spark.☆3,152Updated 2 years ago
- 大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料☆2,982Updated 3 weeks ago
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.☆2,952Updated this week
- REST job server for Apache Spark☆2,839Updated 2 months ago
- Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch …☆2,855Updated this week