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It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
1,634
aziende
Abbiamo dati su 1,634 aziende che usano Apache Beam. La nostra lista di clienti Apache Beam è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
![]() Spotify | Svezia | Musicians | 15K | $14B |
Citi | Stati Uniti | Financial Services | 200K | $75B |
LiveRamp | Stati Uniti | Advertising Services | 1.5K | $529M |
Palo Alto Networks | Stati Uniti | Computer And Network Security | 16K | $6.2B |
![]() FreshBooks | Canada | Software Development | 700 | $100M |
Sift Science | Stati Uniti | It Services And It Consulting | 330 | $50M |
Bayer | Germania | Chemical Manufacturing | 111K | $50B |
![]() Bolt | Estonia | Software Development | 10K | $251M |
DoiT International | Stati Uniti | Software Development | 656 | $316M |
![]() BenchSci | Canada | Software Development | 431 | $6.1M |
Yelp | Stati Uniti | Software Development | 7.9K | $1.1B |
IKEA | Paesi Bassi | Retail | 86K | $47B |
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Apache Beam è utilizzata in 50 paesi
Ci sono 16 alternative a Apache Beam
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Apache Beam is a powerful open-source unified programming model that allows developers to define and execute data processing pipelines, regardless of the runtime engine. With Apache Beam, users can write batch and streaming data processing jobs using a single programming model, making it easier to switch between different processing engines. This technology provides a portable way to express data processing pipelines, enabling seamless execution on various distributed processing backends such as Apache Flink, Apache Spark, and Google Cloud Dataflow.
Apache Beam falls under the category of Workflow Manager, offering a unique approach to data processing by providing a unified programming model for both batch and streaming data. It abstracts the complexities of distributed systems, allowing developers to focus on the logic of their data processing tasks rather than the intricacies of the underlying execution engine. Apache Beam promotes code reusability and portability, empowering organizations to build scalable and maintainable data pipelines efficiently.
Founded by Google in 2016, Apache Beam originated from the Google Cloud Dataflow SDK as an open-source project under the Apache Software Foundation. The motivation behind Apache Beam was to address the challenges of developing and running data processing pipelines across different processing frameworks and environments. By providing a unified programming model, Apache Beam aimed to simplify the development of data processing applications and foster collaboration within the data engineering community.
Currently, Apache Beam holds a significant market share within the Workflow Manager category due to its versatility and compatibility with various processing engines. As businesses increasingly adopt data-driven strategies, the demand for efficient data processing technologies like Apache Beam is expected to grow. With the continuous development and community support, Apache Beam is positioned to expand its market presence and remain a leading choice for organizations seeking scalable and flexible data processing solutions.
Apache Beam is a powerful technology that companies leverage as a workflow manager to streamline data processing and analysis tasks efficiently. Its versatility and robust features make it a popular choice among organizations seeking to optimize their data workflows.
Apache Beam offers a unified programming model that supports both batch and stream processing. This flexibility allows developers to write their data processing logic once and run it on various execution engines such as Apache Flink, Apache Spark, or Google Cloud Dataflow. This eliminates the need to rewrite code for different execution environments, saving valuable time and resources compared to using separate technologies for batch and stream processing.
Apache Beam's ability to automatically optimize and parallelize data processing pipelines enables companies to achieve high scalability and performance. By taking advantage of distributed processing capabilities, Apache Beam can handle large volumes of data with ease, ensuring efficient and timely data processing. This scalability sets Apache Beam apart from traditional technologies that may struggle to scale effectively as data volumes grow.
Apache Beam seamlessly integrates with a wide range of data processing frameworks and services, providing companies with the flexibility to choose the best tools for their specific use cases. This integration with various ecosystems, such as Apache Hadoop and TensorFlow, allows organizations to leverage existing infrastructure and expertise without being locked into a single technology stack. Such versatility and compatibility make Apache Beam a preferred choice for companies looking to maintain interoperability across their data processing components.
In summary, Apache Beam offers a unified programming model, scalability, performance, and ecosystem integration, making it a top choice for companies seeking efficient and reliable data workflow management solutions in the category of Workflow Manager.
Apache Beam is a versatile technology used by various companies to streamline their workflow processes efficiently. Some notable companies leveraging Apache Beam include Spotify, PayPal, and Lyft. Below are case studies highlighting how these companies utilize Apache Beam as part of their tech stack:
Spotify Spotify employs Apache Beam as a critical component in its data processing pipeline. The company utilizes Apache Beam to handle large-scale data processing tasks, enabling real-time insights into user behavior and music preferences. Spotify adopted Apache Beam in 2017 to enhance data processing speed and scalability, allowing for seamless data analysis across its vast user base.
PayPal PayPal relies on Apache Beam for its data processing needs, enabling the company to process transactions and analyze financial data efficiently. By leveraging Apache Beam, PayPal can handle massive volumes of data swiftly, ensuring secure and reliable payment processing. The company integrated Apache Beam into its tech stack in 2016, marking a significant enhancement in data processing capabilities.
Lyft Lyft harnesses the power of Apache Beam for its data analytics and optimization tasks related to ride-sharing services. The company utilizes Apache Beam to process real-time data streams, improve route planning algorithms, and enhance overall service quality. Lyft began utilizing Apache Beam in 2018 to drive strategic decision-making processes and enhance the efficiency of its operational workflows.
These case studies showcase how leading companies like Spotify, PayPal, and Lyft leverage Apache Beam within their tech stacks to enhance data processing, analytics, and operational efficiency. By incorporating Apache Beam into their systems, these companies have successfully streamlined their workflow management processes, enabling them to handle large volumes of data effectively and derive valuable insights to drive business growth.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Apache Beam visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 1,634 aziende che utilizzano Apache Beam.
Apache Beam è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Musicians", "Financial Services", "Advertising Services", "Computer And Network Security", "Software Development", "It Services And It Consulting", "Chemical Manufacturing", "Software Development", "Software Development", "Software Development". Per un elenco completo di tutti i settori che utilizzano Apache Beam, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Apache Beam includono Spotify, Citi, LiveRamp, Palo Alto Networks, FreshBooks, Sift Science, Bayer, Bolt, DoiT International, BenchSci e molte altre. Puoi trovare un elenco completo di 1,634 aziende che utilizzano Apache Beam su TheirStack.com.
Secondo i nostri dati, Apache Beam è più popolare in Stati Uniti (684 companies), Regno Unito (138 companies), India (52 companies), Germania (51 companies), Canada (50 companies), Francia (45 companies), Spagna (35 companies), Brasile (26 companies), Australia (20 companies), Singapore (17 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Apache Beam cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.