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.

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.

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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.



beam playground
Case Studies Powered by Apache Beam
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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At Yelp, Apache Beam allows teams to create custom streaming pipelines using Python, eliminating the need to switch to Scala or Java.
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Stay Up To Date with Beam

blog & release

2024/10/17

Apache Beam 2.60.0

Yi Hu

blog

2024/10/16

Apache Beam Summit 2024: Unlocking the power of ML for data processing

XQ Hu, Danny McCormick & Reza Rokni