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Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
2,078
aziende
Abbiamo dati su 2,078 aziende che usano Apache Flink. La nostra lista di clienti Apache Flink 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 |
---|---|---|---|---|
![]() Lookout | Stati Uniti | Computer And Network Security | 830 | $60M |
Epro Infosystems, LLC | Stati Uniti | It Services And It Consulting | 5 | $17M |
Extreme Networks | Stati Uniti | Software Development | 3.8K | $1.2B |
Geotab | Canada | It Services And It Consulting | 2.2K | $440M |
![]() Aiven | Finlandia | Software Development | 525 | $10M |
![]() Wise | Regno Unito | Financial Services | 5.9K | $387M |
LYTT | Regno Unito | Software Development | 67 | |
![]() Billie | Germania | Financial Services | 200 | $12M |
![]() Dojo | Regno Unito | Financial Services | 1.5K | |
REA Group | Australia | It Services And It Consulting | 2.9K | $563M |
![]() Gorgias | Stati Uniti | Software Development | 403 | $10M |
SaleCycle | Regno Unito | Software Development | 150 | $21M |
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Apache Flink è utilizzata in 52 paesi
Ci sono 45 alternative a Apache Flink
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Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Apache Flink is a powerful distributed stream processing framework that is recognized for its high performance and low latency processing capabilities. It is an open-source platform designed to efficiently process vast amounts of streaming data in real-time, making it a popular choice for applications requiring continuous data processing and analytics.
In the domain of Big Data Tools, Apache Flink falls under the category of stream processing frameworks. Stream processing frameworks are essential components in the Big Data ecosystem, enabling organizations to handle and analyze streams of data continuously as they are generated. Apache Flink stands out with its ability to support both batch and stream processing, making it a versatile tool for various data processing needs.
Apache Flink was founded in 2014 by the Apache Software Foundation with the goal of providing a high-throughput, low-latency stream processing framework for Big Data applications. The project was motivated by the need for a system that could handle real-time data processing efficiently, especially in scenarios where traditional batch processing was not sufficient.
In terms of market share, Apache Flink has been gaining traction in recent years as organizations increasingly recognize the importance of real-time data analytics. It currently holds a significant share in the stream processing framework market, with a forecast indicating further growth in the future. The demand for real-time processing capabilities is expected to drive the continued adoption of Apache Flink in various industries, solidifying its position in the Big Data Tools category.
Apache Flink is a powerful stream processing framework that has gained popularity among companies for its robust features and capabilities in handling real-time data processing tasks efficiently.
High Throughput and Low Latency: Apache Flink offers superior performance in terms of both throughput and latency compared to other similar technologies such as Apache Spark. Its pipelined execution model and efficient state management enable processing large volumes of data with minimal delay, making it ideal for applications requiring real-time insights.
Exactly-once Semantics: One of the key advantages of Apache Flink is its support for exactly-once processing semantics, ensuring that each record is processed and the results are consistent under all circumstances. This feature sets Apache Flink apart from other stream processing frameworks, which may struggle to provide the same level of reliability in processing data.
Dynamic Scaling: Apache Flink allows for dynamic scaling of resources based on the workload, enabling companies to efficiently utilize their infrastructure and optimize costs. Unlike traditional batch processing systems, Apache Flink can adapt to varying workloads in real-time, ensuring optimal performance at all times.
Rich APIs and Libraries: Apache Flink provides a rich set of APIs and libraries for developers to build complex data processing pipelines with ease. Its support for multiple programming languages and extensive libraries simplifies the development process and accelerates time to market compared to other frameworks that may have limited functionalities.
In the realm of Big Data Tools, Apache Flink stands out as a versatile and reliable solution for companies looking to harness the power of real-time data processing efficiently.
Apache Flink is a powerful open-source stream processing framework used by numerous companies worldwide to process large streams of data in real-time. Some well-known companies that leverage Apache Flink in their tech stack include Alibaba, Uber, and Netflix, among others.
Alibaba, the prominent Chinese multinational conglomerate specializing in e-commerce, cloud computing, and artificial intelligence, utilizes Apache Flink for real-time data processing and analytics. They started using Apache Flink in 2017 to handle the massive volumes of data generated on their platforms, enabling them to extract valuable insights promptly.
Uber, the global ride-hailing and food delivery company, relies on Apache Flink for its stream processing capabilities to enhance real-time data processing for various services. Uber integrated Apache Flink into its infrastructure in 2015, allowing them to optimize driver routing, improve ETA predictions, and enhance overall operational efficiency.
Netflix, the world's leading subscription-based streaming service, utilizes Apache Flink for stream processing applications to enhance its personalized recommendation algorithms. Netflix incorporated Apache Flink into its data processing pipeline in 2018, enabling them to deliver tailored content recommendations to users in real-time based on their viewing preferences.
These case studies highlight the diverse applications of Apache Flink in real-world scenarios across different industries, showcasing its versatility in enabling companies to leverage real-time data processing for enhanced operational efficiency and improved customer experiences.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Apache Flink 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 2,078 aziende che utilizzano Apache Flink.
Apache Flink è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Computer And Network Security", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "Software Development", "Financial Services", "Software Development", "Financial Services", "Financial Services", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano Apache Flink, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Apache Flink includono Lookout, Epro Infosystems, LLC, Extreme Networks, Geotab, Aiven, Wise, LYTT, Billie, Dojo, REA Group e molte altre. Puoi trovare un elenco completo di 2,078 aziende che utilizzano Apache Flink su TheirStack.com.
Secondo i nostri dati, Apache Flink è più popolare in Stati Uniti (909 companies), Regno Unito (136 companies), India (81 companies), Spagna (68 companies), Germania (59 companies), Francia (44 companies), Canada (42 companies), Paesi Bassi (23 companies), Singapore (22 companies), Australia (20 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Apache Flink 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.