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This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.
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aziende
Abbiamo dati su 2 aziende che usano rdkafka. La nostra lista di clienti rdkafka 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 |
---|---|---|---|---|
Playbook Engineering | Regno Unito | It Services And It Consulting | 73 | |
Cegeka Deutschland GmbH | Belgio | It Services And It Consulting | 5K | $843M |
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Ci sono 6 alternative a rdkafka
rdkafka è utilizzata in 2 paesi
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.
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Rdkafka is a powerful and efficient library for Apache Kafka written in the C language. It provides high-performance Kafka producer and consumer capabilities, allowing developers to interact with Kafka clusters easily and efficiently. Rdkafka is designed to be fast and reliable, making it a popular choice for applications requiring real-time data streaming and processing.
Rdkafka falls under the category of Kafka Tools, which encompasses various tools and libraries specifically tailored for working with Apache Kafka. Kafka Tools are essential for managing Kafka clusters, developing Kafka applications, and monitoring Kafka performance. Rdkafka, being a high-performance Kafka client library, plays a crucial role in this category by enabling seamless integration with Kafka clusters and ensuring optimal data handling.
Initially founded in 2013 by Magnus Edenhill, rdkafka was created to address the need for a robust and efficient Kafka client library in the C language. Edenhill's motivation stemmed from the increasing popularity of Kafka as a distributed streaming platform and the lack of a high-performance C library that could effectively interact with Kafka clusters. Since its inception, rdkafka has gained a strong following in the Kafka community due to its reliability and speed.
In terms of market share, rdkafka has established itself as a popular choice among developers seeking high-performance Kafka client capabilities. With the continuous growth of Kafka adoption in various industries, the market share of rdkafka is expected to rise in the future as more organizations leverage Kafka for real-time data processing and analytics. The robustness and efficiency of rdkafka position it well for sustained growth within the Kafka Tools category.
Introduction to rdkafka
Rdkafka is a powerful and efficient technology widely used by companies to leverage real-time data processing and streamlining workflows. As a robust Kafka client for R, rdkafka offers numerous benefits that make it a preferred choice for businesses looking to enhance their data management capabilities.
Benefits of rdkafka
1. Seamless Integration Rdkafka seamlessly integrates with the Apache Kafka platform, providing companies with a reliable tool for managing data pipelines. Unlike other similar technologies, rdkafka offers a straightforward integration process, allowing businesses to quickly set up data streaming operations without unnecessary complexities.
2. High Performance Rdkafka is known for its high performance and low latency, enabling companies to process vast amounts of data in real-time efficiently. Compared to alternative solutions, rdkafka stands out for its ability to handle heavy workloads without compromising speed or accuracy, making it an ideal choice for organizations with demanding data processing requirements.
3. Robust Security Features With advanced security features such as encryption and authentication mechanisms, rdkafka ensures that data remains secure throughout the transmission process. Unlike competing technologies that may have vulnerabilities, rdkafka prioritizes data protection, giving companies peace of mind knowing that their valuable information is safeguarded against potential threats.
4. Scalability Rdkafka offers scalable solutions that can adapt to the evolving needs of businesses as they grow. Whether handling a small dataset or massive streams of information, rdkafka's scalability features allow companies to expand their operations seamlessly without encountering limitations commonly found in other technologies.
In conclusion, rdkafka's exceptional features and benefits make it a preferred choice for companies seeking a reliable Kafka client for their data processing needs.
RdKafka is a popular technology used by many companies for real-time data streaming and processing. Several well-known organizations leverage RdKafka within their tech stack to enhance their operations. Let's explore some specific case studies showcasing how companies have successfully implemented RdKafka:
Uber: Uber utilizes RdKafka for its real-time data processing needs. The company started using RdKafka in 2016 to handle the massive volume of data generated by its ride-hailing services. By leveraging RdKafka, Uber is able to efficiently process real-time data streams, enabling dynamic decision-making and improving overall service quality.
Airbnb: Airbnb relies on RdKafka to power its data pipelines and analytics infrastructure. By incorporating RdKafka into their tech stack, Airbnb can process and analyze vast amounts of user-generated data in real-time. This has allowed Airbnb to enhance personalization efforts, improve operational efficiency, and deliver a seamless user experience.
Pinterest: Pinterest implemented RdKafka to enhance its real-time content recommendation system. By harnessing the power of RdKafka, Pinterest can process user interactions instantly, serving relevant content to users based on their preferences and behavior. This has significantly improved user engagement and retention on the Pinterest platform.
These case studies highlight how leading companies like Uber, Airbnb, and Pinterest have successfully integrated RdKafka into their tech infrastructure to drive innovation, improve data processing capabilities, and enhance user experiences. By adopting RdKafka, these organizations have been able to stay ahead in their respective industries by harnessing the power of real-time data processing and analytics.
Puoi accedere a un elenco aggiornato di aziende che utilizzano rdkafka 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 aziende che utilizzano rdkafka.
rdkafka è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano rdkafka, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano rdkafka includono Playbook Engineering, Cegeka Deutschland GmbH e molte altre. Puoi trovare un elenco completo di 2 aziende che utilizzano rdkafka su TheirStack.com.
Secondo i nostri dati, rdkafka è più popolare in Belgio (1 companies), Regno Unito (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano rdkafka 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.