It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.
270
aziende
Abbiamo dati su 270 aziende che usano Apache Oozie. La nostra lista di clienti Apache Oozie 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 |
---|---|---|---|---|
Novencia | Francia | Professional Services | 210 | $3.1M |
![]() Airbnb | Stati Uniti | Software Development | 38K | $6B |
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
HiLabs | Stati Uniti | Software Development | 190 | $2.4M |
EPAM Systems | Stati Uniti | It Services And It Consulting | 61K | $4.8B |
Cognizant Technology Solutions | Stati Uniti | It Services And It Consulting | 341K | $19B |
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Hilabs | Stati Uniti | It Services And It Consulting | 140 | $2.4M |
Devoteam | Francia | It Services And It Consulting | 10K | $934M |
Société Générale | Francia | Financial Services | 45K | $30B |
![]() NTT DATA | Giappone | It Services And It Consulting | 37K | $20B |
Clarrow | Australia | Staffing And Recruiting | 22 |
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Apache Oozie è utilizzata in 17 paesi
Ci sono 16 alternative a Apache Oozie
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Apache Oozie is an open-source workflow scheduler system used to manage Apache Hadoop jobs. It allows users to define a series of tasks in a specific order to coordinate and schedule data processing jobs on a Hadoop cluster. Oozie supports multiple types of workflows such as MapReduce, Pig, Hive, and Sqoop, making it a versatile tool for orchestrating complex data processing pipelines.
Apache Oozie falls under the category of Workflow Manager technology. It plays a crucial role in enabling organizations to automate and streamline their data workflows within big data environments. By providing a centralized platform for defining, executing, and monitoring workflows, Oozie enhances the efficiency of data processing tasks and ensures better coordination among different components of the Hadoop ecosystem.
Founded in 2007 by Yahoo Inc., Apache Oozie was initially developed to address the need for a reliable workflow scheduler for Apache Hadoop jobs. Yahoo's motivation behind creating Oozie was to improve the operational efficiency of their data processing tasks by automating job orchestration and providing a more organized workflow management solution. Over the years, Apache Oozie has gained significant traction in the big data community and has become a widely adopted tool for managing Hadoop workflows.
In terms of current market share, Apache Oozie remains a popular choice among organizations leveraging Hadoop for their data processing needs. Its robust features and support for various workflow types continue to attract users looking to streamline their data pipelines effectively. While there may be emerging alternatives in the workflow management space, Apache Oozie is expected to maintain its market presence and possibly grow further as the demand for efficient data processing solutions continues to rise in the future.
Apache Oozie is a popular Workflow Manager used by companies to efficiently manage and coordinate complex workflows in their data processing pipelines. Its robust features make it an indispensable tool for organizations looking to streamline their data processing operations and maximize productivity.
Apache Oozie excels in seamlessly orchestrating workflows across various data processing tasks, ensuring dependencies are met and actions are executed in the right order. Unlike other similar technologies, Oozie provides a user-friendly interface and flexible scheduling capabilities, allowing for intricate workflows to be easily managed and monitored.
One of the key benefits of Apache Oozie is its scalability and reliability in handling large volumes of data processing tasks. With Oozie, companies can confidently scale their workflows as their data processing needs grow, without compromising on performance or reliability. This sets it apart from other workflow management tools that may struggle to maintain efficiency at scale.
Apache Oozie seamlessly integrates with the Hadoop ecosystem, making it an ideal choice for companies already leveraging Hadoop for their big data processing needs. Its native support for various Hadoop components such as MapReduce, Hive, and Pig allows for smooth integration and enhanced efficiency, giving it an edge over standalone workflow management solutions.
Another advantage of Apache Oozie is its customizable workflow design capabilities, enabling companies to tailor workflows to their specific requirements. This level of flexibility allows for the creation of highly optimized workflows that align with business objectives, setting it apart from rigid workflow management tools that offer limited customization options.
In conclusion, Apache Oozie stands out as a powerful Workflow Manager that offers unparalleled benefits in terms of workflow orchestration, scalability, integration with the Hadoop ecosystem, and customizable workflow design. Its versatility and reliability make it a top choice for companies seeking an efficient solution for managing complex data processing workflows.
Apache Oozie is a workflow scheduler system used to manage Hadoop jobs. Several notable companies leverage Apache Oozie to streamline their data processing and workflow automation. Let's take a look at some real-world case studies highlighting the usage of Apache Oozie in different companies:
Airbnb, a renowned online marketplace for lodging, uses Apache Oozie to orchestrate and schedule various data processing tasks. They started utilizing Apache Oozie back in 2014 to automate and streamline their data workflows. By leveraging Oozie's capabilities, Airbnb has been able to enhance operational efficiency and ensure timely execution of data pipelines.
LinkedIn, the world's largest professional networking platform, relies on Apache Oozie for managing complex data workflows efficiently. LinkedIn began utilizing Oozie as a workflow manager in 2012 to coordinate and execute diverse Hadoop jobs seamlessly. This adoption of Apache Oozie has enabled LinkedIn to handle large-scale data processing tasks effectively, contributing to improved data quality and operational productivity.
Twitter, a leading social media platform, incorporates Apache Oozie into their data infrastructure to streamline data processing and workflow orchestration. Twitter started using Apache Oozie in 2015 to automate the scheduling and execution of data tasks across their platform. By leveraging Oozie's workflow management capabilities, Twitter has been able to optimize their data processing workflows, leading to enhanced data accuracy and operational efficiency.
These case studies demonstrate how companies like Airbnb, LinkedIn, and Twitter effectively leverage Apache Oozie as a workflow manager to enhance data processing, automate workflows, and improve operational efficiency. By integrating Apache Oozie into their tech stacks, these companies have been able to streamline their data pipelines and enhance overall data management processes.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Apache Oozie 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 270 aziende che utilizzano Apache Oozie.
Apache Oozie è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Professional Services", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting", "Financial Services". Per un elenco completo di tutti i settori che utilizzano Apache Oozie, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Apache Oozie includono Novencia, Airbnb, IBM, HiLabs, EPAM Systems, Cognizant Technology Solutions, Amazon Web Services, Inc., Hilabs, Devoteam, Société Générale e molte altre. Puoi trovare un elenco completo di 270 aziende che utilizzano Apache Oozie su TheirStack.com.
Secondo i nostri dati, Apache Oozie è più popolare in Stati Uniti (131 companies), India (16 companies), Francia (15 companies), Regno Unito (12 companies), Canada (11 companies), Spagna (7 companies), Australia (5 companies), Italia (4 companies), Germania (3 companies), Irlanda (3 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Apache Oozie 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.