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☆42,073Updated last week
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- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,608Updated 3 weeks ago
- Apache Doris is an easy-to-use, high performance and unified analytics database.☆14,460Updated this week
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- 🧙 Build, run, and manage data pipelines for integrating and transforming data.☆8,494Updated this week
- An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Tr…☆8,328Updated this week
- Python SQL Parser and Transpiler☆8,453Updated this week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,306Updated last week
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- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,774Updated last week
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- macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime …☆6,228Updated 2 years ago
- Simple and Distributed Machine Learning☆5,170Updated this week
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- State of the Art Natural Language Processing☆4,056Updated this week
- The Hunting ELK☆3,888Updated last year
- TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.☆3,870Updated 2 years ago
- A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others☆3,755Updated last week
- 酷玩 Spark: Spark 源代码解析、Spark 类库等☆3,489Updated 3 years ago
- Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.☆3,525Updated last month
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- Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications…☆3,391Updated last week
- DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitizati…☆3,209Updated this week
- Interactive and Reactive Data Science using Scala and Spark.☆3,151Updated 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☆3,070Updated 4 months ago
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.☆3,037Updated last week
- Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch …☆3,020Updated this week
- LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data…☆3,036Updated last week