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It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.
218
entreprises
Nous disposons de données sur 218 entreprises qui utilisent Apache Flume. Notre liste de clients Apache Flume est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Digital Turbine | États-Unis | Advertising Services | 1.1K | $993M |
Tredence | États-Unis | Business Consulting And Services | 2K | $33M |
EXL | États-Unis | It Services And It Consulting | 33K | |
![]() Mission Lane | États-Unis | Financial Services | 425 | $96M |
Google | États-Unis | Software Development | 290K | $280B |
JCPenney | États-Unis | Retail | 38K | |
EXL Service | Inde | It Services And It Consulting | 1K | |
MarketMuse | États-Unis | Online Audio And Video Media | 27 | $5.4M |
McAfee | États-Unis | Computer And Network Security | 5.9K | $2B |
Blue Orange Digital | États-Unis | It Services And It Consulting | 68 | $9.8M |
Realign LLC | États-Unis | |||
EY | Royaume-Uni | Professional Services | 357K | $45B |
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Statistiques d'Utilisation Technologique et Part de Marché
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Apache Flume est utilisé dans 19 pays
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Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating, and moving large amounts of log data from various data sources to a centralized data store. It is a robust tool designed to handle high-volume data streams efficiently. With its flexible and extensible architecture, Apache Flume enables seamless data ingestion from multiple sources into systems such as Apache Hadoop, Apache HBase, Apache Solr, and many others.
Apache Flume falls under the category of Log Management tools. It specializes in data collection, aggregation, and movement of log data, making it an essential component for organizations looking to streamline their log processing workflows. By providing a reliable and scalable solution for handling log data, Apache Flume plays a critical role in ensuring data integrity, accessibility, and security within an organization's data infrastructure.
Apache Flume was originally created by Cloudera, a prominent player in the big data industry, in 2011. The motivation behind developing Apache Flume was to address the challenges associated with collecting and processing large volumes of log data in distributed computing environments. Since its inception, Apache Flume has gained significant traction within the industry, becoming a popular choice for managing log data efficiently.
In terms of current market share, Apache Flume remains a dominant player in the Log Management category, with a sizeable user base across various industries. The tool's robust features, scalability, and reliability continue to attract new users and retain existing ones. Looking ahead, it is anticipated that Apache Flume will maintain its market position and potentially experience growth as organizations increasingly prioritize efficient log data management strategies to support their business operations.
Apache Flume is a powerful tool widely utilized by companies for efficient log management. This technology offers a comprehensive solution to collect, aggregate, and move large amounts of log data from different sources to a centralized data store. Its seamless integration with various data sources and robust architecture make it a popular choice among businesses looking to streamline their log management processes.
Apache Flume stands out for its scalability, enabling companies to handle growing volumes of log data without compromising performance. Its flexible architecture allows for easy customization to meet specific organizational needs, making it a versatile option for businesses of all sizes.
One of the key advantages of Apache Flume is its high level of reliability and fault tolerance. It ensures data integrity through reliable delivery mechanisms and fault recovery capabilities, minimizing the risk of data loss or disruptions in the log management process.
Apache Flume integrates seamlessly with other components of the Apache Hadoop ecosystem, such as HDFS, Hive, and HBase. This deep integration simplifies data processing and analysis workflows, providing a cohesive environment for handling log data efficiently.
Unlike traditional log management tools, Apache Flume excels in real-time data ingestion capabilities. It enables companies to process and analyze log data as it arrives, empowering real-time decision-making and insights generation from logs.
Apache Flume offers a cost-effective solution for log management, eliminating the need for proprietary tools or expensive infrastructure investments. Its open-source nature and community support make it a budget-friendly option for companies seeking reliable log management solutions.
Introduction:
Many prominent companies leverage Apache Flume, a distributed, reliable, and available system for efficiently collecting, aggregating, and moving large amounts of streaming data. Below are case studies from real companies utilizing Apache Flume for log management.
Case Studies:
1. LinkedIn: LinkedIn, the world's largest professional network, uses Apache Flume to collect and process log data from various sources across their platform. They started using Apache Flume in 2013 to handle their massive and diverse log data streams efficiently. By utilizing Apache Flume, LinkedIn has been able to centralize log collection, enabling real-time analysis and monitoring of their system's health and performance.
2. Cisco: Cisco, a global leader in networking solutions, implements Apache Flume to streamline log management processes within their extensive network infrastructure. Cisco adopted Apache Flume in 2015 to ingest, transform, and load logs from numerous networking devices, servers, and applications. By leveraging Apache Flume for log collection, Cisco has enhanced their operational visibility, enabling proactive monitoring and troubleshooting across their network ecosystem.
3. Zalando: Zalando, Europe's leading online fashion platform, utilizes Apache Flume to handle the vast amount of log data generated by their e-commerce operations. Since integrating Apache Flume in 2014, Zalando has been able to extract valuable insights from their log streams, optimizing processes related to performance monitoring, error detection, and data analysis. Apache Flume has played a crucial role in Zalando's data infrastructure, empowering them to make data-driven decisions and enhance customer experiences.
These case studies showcase how Apache Flume is effectively utilized by well-known companies to manage and analyze log data efficiently, demonstrating its significance in the realm of log management technology.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Apache Flume en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 218 entreprises qui utilisent Apache Flume.
Apache Flume est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Advertising Services", "Business Consulting And Services", "It Services And It Consulting", "Financial Services", "Software Development", "Retail", "It Services And It Consulting", "Online Audio And Video Media", "Computer And Network Security", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Apache Flume, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Apache Flume incluent Digital Turbine, Tredence, EXL, Mission Lane, Google, JCPenney, EXL Service, MarketMuse, McAfee, Blue Orange Digital et bien d'autres encore. Vous pouvez trouver une liste complète des 218 entreprises qui utilisent Apache Flume sur TheirStack.com.
Selon nos données, Apache Flume est le plus populaire dans États-Unis (94 companies), Royaume-Uni (14 companies), Inde (13 companies), Espagne (8 companies), Canada (7 companies), Brésil (6 companies), Italie (3 companies), Australie (2 companies), Allemagne (2 companies), Japon (2 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Apache Flume en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.