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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.
我们掌握了关于使用Kafka REST的40家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
Intellibus | 美国 | It Services And It Consulting | 66 | |
Aiven | 芬兰 | Software Development | 525 | $10M |
Piper Companies | 美国 | Staffing And Recruiting | 182 | |
Deutsche Börse | 德国 | Financial Services | 10K | $5.2B |
Qcentrio | 美国 | It Services And It Consulting | 71 | |
Aptitude Global | 英国 | It Services And It Consulting | 42 | |
Die Schweizerische Post | 瑞士 | Transportation, Logistics, Supply Chain And Storage | 10K | |
USAA | 美国 | Financial Services | 38K | $3.3M |
Iris software | 美国 | It Services And It Consulting | 3.1K | $200M |
Ciklum | 英国 | It Services And It Consulting | 4.5K | $168M |
HummingBirds | 法国 | Environmental Services | 20 | |
AutoMetrics Manufacturing Technologies Inc | 加拿大 | Automation Machinery Manufacturing | 3 |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Kafka REST 被用于 11 个国家
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
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.
您可以访问 TheirStack.com,获取使用 Kafka REST 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 40 家使用 Kafka REST 的公司的数据。
Kafka REST 被广泛应用于包括 "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" 在内的各个行业的各种组织中。欲了解所有使用 Kafka REST 的行业的完整列表,请访问 TheirStack.com。
一些使用Kafka REST的公司包括Intellibus, Aiven, Piper Companies, Deutsche Börse, Qcentrio, Aptitude Global, Die Schweizerische Post, USAA, Iris software, Ciklum以及更多公司。您可以在TheirStack.com上找到使用Kafka REST的40家公司完整列表。
根据我们的数据,Kafka REST 在 美国 (17 companies), 英国 (5 companies), 德国 (2 companies), 奥地利 (1 companies), 比利时 (1 companies), 加拿大 (1 companies), 捷克 (1 companies), 芬兰 (1 companies), 法国 (1 companies), 印度 (1 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Kafka REST,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。