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Apache Beam®

Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

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Apache Beam® Get Started Documentation Toggle navigation Toggle navigation About Get Started DocumentationGeneral Languages Runners I/O Connectors Roadmap Community Contribute Blog Case Studies Apache ASF Homepage License Security Thanks Sponsorship Code of Conduct About Get StartedDocumentation General Languages Runners I/O Connectors Roadmap Community Contribute Blog Case Studies Apache ASF Homepage License Security Thanks Sponsorship Code of Conduct Introducing Apache Beam The Unified Apache Beam Model The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Link to GitHub Repo Introducing Apache Beam The Unified Apache Beam Model The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads. Learn more Java Quickstart Python Quickstart Go Quickstart Try Playground Tour of Beam How Does It Work? Data Sourcing Beam reads your data from a diverse set of supported sources, no matter if it’s on-prem or in the cloud. Data Processing Beam executes your business logic for both batch and streaming use cases. Data Writing Beam writes the results of your data processing logic to the most popular data sinks in the industry. Apache Beam Features Unified A simplified, single programming model for both batch and streaming use cases for every member of your data and application teams. Extensible Apache Beam is extensible, with projects such as TensorFlow Extended and Apache Hop built on top of Apache Beam. Portable Execute pipelines on multiple execution environments (runners), providing flexibility and avoiding lock-in. Open Source Open, community-based development and support to help evolve your application and meet the needs of your specific use cases. Write Once, Run Anywhere Create Multi-language Pipelines Try Beam Playground Beam Playground is an interactive environment to try out Beam transforms and examples without having to install Apache Beam in your environment. You can try the Apache Beam examples at Beam Playground. Case Studies Powered by Apache Beam Apache Beam fuels LinkedIn’s streaming infrastructure, processing 4 trillion events daily through 3K+ pipelines in near-real time. Beam enabled unified pipelines, yielding 2x cost savings and remarkable improvements for many use cases. Learn more Share your story With Apache Beam, OCTO accelerated the migration of one of France’s largest grocery retailers to streaming processing for transactional data, achieving 5x reduced infrastructure costs and 4x improved performance. Learn more Share your story HSBC leveraged Apache Beam as a computational platform and a risk engine that enabled 100x scaling, 2x faster performance, and simplified data distribution for assessing and managing XVA and counterparty credit risk at HSBC’s global scale. Learn more Share your story Apache Beam supports Project Shield’s mission to protect freedom of speech and make the web a safer space by enabling ~2x streaming efficiency at >10,000 QPS and real-time visibility into attack data for their >3K customers. Learn more Share your story Apache Beam powers the Booking.com global ad bidding for performance marketing and scans 2PB+ of data daily, accelerating processing by an eye-opening 36x and expediting time-to-market by as much as 4x. Learn more Share your story Apache Beam has future-proofed Credit Karma’s data and ML platform for scalability and efficiency, enabling MLOps with unified pipelines, processing 5-10 TB daily at 5K events per second, and managing 20K+ ML features. Learn more Share your story Apache Beam enabled Albertsons to standardize ingestion into a resilient and portable framework, delivering 99.9% reliability at enterprise scale across both real-time signals and core business data. Learn more Share your story Apache Beam is a central component to Intuit’s Stream Processing Platform, which has driven 3x faster time-to-production for authoring a stream processing pipeline. Learn more Share your story Apache Beam enabled real-time ML streaming feature generation and model execution playing a pivotal role in optimizing Lyft’s Marketplace ML predictions, processing ~4mil events per minute to generate ~100 features. Learn more Share your story Seznam, a Czech search engine, has been an early contributor and adopter of Apache Beam, and they migrated several petabyte-scale workloads to Apache Beam pipelines. Learn more Share your story Palo Alto Networks, Inc. is a global cybersecurity leader that uses Apache Beam to process ~10 millions of security log events per second for their real-time streaming infrastructure. Learn more Share your story Apache Beam provides Ricardo, a leading Swiss second hand marketplace, with a scalable and reliable data processing framework that supports fundamental business scenarios and enables real-time and ML data processing. Learn more Share your story Apache Hop, an open-source data orchestration platform, uses Apache Beam to “design once, run anywhere” and creates a value-add for Apache Beam users by enabling visual pipeline development and lifecycle management. Learn more Share your story At Yelp, Apache Beam allows teams to create custom streaming pipelines using Python, eliminating the need to switch to Scala or Java. Learn more Share your story Accenture Baltics uses Apache Beam on Google Cloud to build a robust data processing infrastructure for a sustainable energy leader.They use Beam to democratize data access, process data in real-time, and handle complex ETL tasks. Learn more Share your story Akvelon built Beam-based solutions for Protegrity and a major North American credit reporting company, enabling tokenization with Dataflow Flex Templates and reducing infrastructure and deployment complexity. Learn more Share your story With Apache Beam and Dataflow, Credit Karma achieved a 99% uptime for critical data pipelines, a significant jump from 80%. This reliability, coupled with faster development (1 engineer vs. 3 estimated), has been crucial for enabling real-time financial insights for our more than 140 million members. Learn more Share your story Have a story to share? Your logo could be here. Share your story Share your story Stay Up To Date with Beam blog 2026/07/22 Beam Summit 2026 | Interview with Raj Katakam, Intuit Credit Karma Jana Polianskaja blog & release 2026/07/08 Apache Beam 2.75.0 Vitalii Terentev Start Overview Quickstart (Java) Quickstart (Python) Quickstart (Go) Downloads Docs Concepts Pipelines Runners Community Contribute Team Media Events/Meetups Contact Us Resources Blog GitHub © The Apache Software Foundation | Privacy Policy | RSS Feed Apache Beam, Apache, Beam, the Beam logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. All other products or name brands are trademarks of their respective holders, including The Apache Software Foundation.