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It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.
40
entreprises
Nous disposons de données sur 40 entreprises qui utilisent Kafka REST. Notre liste de clients Kafka REST 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 |
---|---|---|---|---|
Intellibus | États-Unis | It Services And It Consulting | 66 | |
![]() Aiven | Finlande | Software Development | 525 | $10M |
Piper Companies | États-Unis | Staffing And Recruiting | 182 | |
Deutsche Börse | Allemagne | Financial Services | 10K | $5.2B |
Qcentrio | États-Unis | It Services And It Consulting | 71 | |
Aptitude Global | Royaume-Uni | It Services And It Consulting | 42 | |
Die Schweizerische Post | Suisse | Transportation, Logistics, Supply Chain And Storage | 10K | |
USAA | États-Unis | Financial Services | 38K | $3.3M |
Iris software | États-Unis | It Services And It Consulting | 3.1K | $200M |
Ciklum | Royaume-Uni | It Services And It Consulting | 4.5K | $168M |
HummingBirds | France | Environmental Services | 20 | |
AutoMetrics Manufacturing Technologies Inc | Canada | Automation Machinery Manufacturing | 3 |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Il y a 6 alternatives à Kafka REST
Kafka REST est utilisé dans 11 pays
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 Kafka REST is a technology that provides a way to interact with Apache Kafka, a distributed streaming platform. Kafka REST allows users to produce and consume messages from Kafka topics using HTTP-based endpoints, making it easier to integrate Kafka with applications that communicate over HTTP.
Kafka REST falls under the category of Kafka Tools, which includes various tools and utilities built around Apache Kafka to enhance its functionality and ease of use. Specifically, Kafka REST simplifies the process of interacting with Kafka by providing a web-based interface for producing and consuming messages. This abstraction layer makes it more accessible for developers who are already familiar with HTTP protocols.
Kafka REST was founded as an open-source project by the Apache Software Foundation. The motivation behind creating Kafka REST was to address the need for a simple and standardized way to interact with Kafka, especially in scenarios where direct integration with Kafka clients may not be feasible. Since its inception, Kafka REST has gained traction in the market as a convenient solution for bridging the gap between Kafka and HTTP-based applications.
Currently, Kafka REST holds a significant market share within the Kafka Tools category due to its user-friendly approach and adoption by companies looking to streamline their Kafka integrations. As the demand for real-time data processing and stream processing continues to grow, it is forecasted that Kafka REST will see a rise in its market share as more organizations leverage the power of Apache Kafka in their architectures.
Kafka REST is a crucial tool that companies utilize for efficient data streaming and real-time processing. By leveraging Kafka REST, organizations can seamlessly integrate with Apache Kafka clusters and interact with them through HTTP calls, making it easier to exchange data in distributed systems.
Kafka REST simplifies integration processes by providing a straightforward HTTP interface for interacting with Kafka clusters. Unlike traditional Java-based clients, Kafka REST allows for seamless communication between different programming languages and systems, streamlining the integration process.
One of the key benefits of Kafka REST is its scalability and flexibility. Organizations can easily scale their Kafka deployments based on the volume of data being processed, ensuring that the system can handle increasing demands without compromising performance. Additionally, Kafka REST's support for various data formats enhances flexibility, allowing for seamless data exchange across diverse environments.
Kafka REST offers a user-friendly interface that simplifies the process of interacting with Kafka clusters. Its RESTful design enables developers to perform common operations with minimal effort, reducing complexity and enhancing productivity. Compared to traditional Kafka clients, Kafka REST provides a more intuitive approach to managing Kafka resources, making it ideal for teams with varying levels of technical expertise.
With Kafka REST, organizations can enhance data accessibility by enabling communication with Kafka clusters over standard HTTP protocols. This accessibility facilitates seamless integration with a wide range of applications and systems, enabling real-time data processing and analysis across distributed environments. Moreover, Kafka REST's compatibility with HTTP-based tools and libraries further enhances accessibility, allowing for seamless interaction with Kafka clusters from different platforms.
Some companies that utilize Kafka REST in their technology stack include LinkedIn, Uber, and Netflix. Below are case studies showcasing how these companies leverage Kafka REST for their operations:
LinkedIn: LinkedIn employs Kafka REST to facilitate real-time data processing and streaming across its platform. They started incorporating Kafka REST into their systems back in 2014 to enhance data reliability and scalability. By leveraging Kafka REST, LinkedIn significantly improved its data pipelines, enabling seamless communication between various microservices and enhancing overall system performance.
Uber: Uber relies on Kafka REST for managing its extensive data streams generated from user interactions, ride requests, and driver information. Implementing Kafka REST in 2016, Uber strengthened its data processing capabilities by ensuring efficient data ingestion, processing, and analysis in real-time. This enabled Uber to make data-driven decisions promptly, improve user experience, and optimize operations across the platform.
Netflix: Netflix utilizes Kafka REST to power its real-time monitoring and analytics systems. By adopting Kafka REST in 2015, Netflix enhanced its data streaming infrastructure, allowing for swift and reliable data processing across different components of its platform. Through Kafka REST, Netflix can track user activities, analyze viewer preferences, and deliver personalized recommendations in real-time, contributing to an enhanced user experience.
These case studies demonstrate how companies like LinkedIn, Uber, and Netflix leverage Kafka REST to drive innovation, improve data processing capabilities, and enhance user experiences within their platforms.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Kafka REST 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 40 entreprises qui utilisent Kafka REST.
Kafka REST est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting", "Software Development", "Staffing And Recruiting", "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "Transportation, Logistics, Supply Chain And Storage", "Financial Services", "It Services And It Consulting", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Kafka REST, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Kafka REST incluent Intellibus, Aiven, Piper Companies, Deutsche Börse, Qcentrio, Aptitude Global, Die Schweizerische Post, USAA, Iris software, Ciklum et bien d'autres encore. Vous pouvez trouver une liste complète des 40 entreprises qui utilisent Kafka REST sur TheirStack.com.
Selon nos données, Kafka REST est le plus populaire dans États-Unis (17 companies), Royaume-Uni (5 companies), Allemagne (2 companies), Autriche (1 companies), Belgique (1 companies), Canada (1 companies), Tchéquie (1 companies), Finlande (1 companies), France (1 companies), Inde (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Kafka REST 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.