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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。
Finagle 被用于 9 个国家
我们掌握了关于使用Finagle的41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。
Technology
is any of
Finagle
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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巴西 | Financial Services | 10K | $737M | Finagle | |
Broadcast Media Production And Distribution | 51 |
| Finagle | ||
美国 | Technology, Information And Internet | 150 | $20M | Finagle | |
| Finagle | ||||
澳大利亚 | Software Development | 8.8K | $1B | Finagle | |
美国 | Consumer Services | 2K | $865M | Finagle | |
Restaurants | 71 |
| Finagle | ||
美国 | Computer And Network Security | 910 | $12M | Finagle | |
美国 | Advertising Services | 810 | $1.3B | Finagle | |
美国 | It Services And It Consulting | 4.8K | $5.1B | Finagle |
有 105 个 Finagle 替代品
105.4k
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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。
Finagle is a robust and extensible RPC system for the JVM developed by Twitter for building asynchronous, RPC-style services. It provides a highly transport-agnostic framework that enables the creation of scalable and fault-tolerant applications. Finagle's design focuses on composability, allowing developers to build complex systems by combining small, single-purpose components. With built-in support for load balancing, connection pooling, and fault tolerance, Finagle simplifies the implementation of distributed systems, making it a popular choice for building microservices architectures.
Finagle falls under the category of Concurrency Frameworks, emphasizing its ability to handle multiple concurrent tasks efficiently. It is specifically designed to manage the intricacies of coordinating asynchronous operations across distributed systems. By offering a set of powerful abstractions for handling network communication and concurrency, Finagle enables developers to create high-performance, scalable services that can seamlessly handle large volumes of traffic while ensuring reliability and fault tolerance.
Originally founded in 2009 by the engineering team at Twitter, Finagle was created to address the challenges of building and maintaining highly concurrent and fault-tolerant distributed systems. Motivated by the need to handle the massive scale of social media interactions on the Twitter platform, the developers sought to build a framework that could meet the stringent requirements of real-time communication while ensuring resiliency in the face of network failures and service interruptions.
Currently, Finagle maintains a significant presence in the Concurrency Frameworks market, with a loyal user base that continues to grow. As the demand for high-performance, scalable distributed systems increases across various industries, Finagle is well-positioned to see a steady growth in its market share. With its proven track record in enabling the development of reliable and efficient microservices architectures, Finagle is poised to remain a key player in the Concurrency Frameworks landscape, catering to the evolving needs of modern applications.
您可以访问 TheirStack.com,获取使用 Finagle 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 41 家使用 Finagle 的公司的数据。
Finagle 被广泛应用于包括 "Financial Services", "Broadcast Media Production And Distribution", "Technology, Information And Internet", "Software Development", "Consumer Services", "Restaurants", "Computer And Network Security", "Advertising Services", "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 Finagle 的行业的完整列表,请访问 TheirStack.com。
一些使用Finagle的公司包括Nubank, Prodege, Dwolla, 株式会社プロモ 人材紹介チーム, Canva, Credit Karma, Whisk, Abnormal Security, Amobee, Twitter以及更多公司。您可以在TheirStack.com上找到使用Finagle的41家公司完整列表。
根据我们的数据,Finagle 在 美国 (17 companies), 英国 (3 companies), 澳大利亚 (1 companies), 巴西 (1 companies), 芬兰 (1 companies), 德国 (1 companies), 新加坡 (1 companies), 西班牙 (1 companies), 阿联酋 (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Finagle,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。