使用 Samza 的公司

常见问题

这些数据的来源是什么?

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。

数据多久更新一次?

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。

什么是Samza?

Samza is a distributed stream processing framework that was originally developed by the team at LinkedIn in 2013. It is designed to handle large amounts of data in real-time, allowing for high scalability and fault tolerance. Samza is built to be both durable and lightweight, making it suitable for processing data from various sources efficiently. With its seamless integration with Apache Kafka, Samza has become a popular choice for organizations looking to process data streams.

In the category of Message Queue technologies, Samza plays a crucial role in enabling efficient data processing and messaging between different systems. It facilitates the reliable and real-time transfer of messages between producers and consumers, ensuring that data is processed quickly and accurately. Samza's architecture emphasizes fault tolerance and scalability, making it an ideal solution for companies dealing with massive data volumes and requiring low-latency processing.

Founded in 2013 by the LinkedIn team, Samza was motivated by the need for a robust stream processing framework that could handle the ever-increasing data volumes generated by the company's platform. LinkedIn wanted a solution that could process data in real-time while being reliable and fault-tolerant. This led to the creation of Samza, which has since gained popularity beyond LinkedIn and is now widely used in various industries for stream processing applications.

Currently, Samza holds a significant market share within the Message Queue category, with many organizations adopting it for their real-time data processing needs. As the demand for real-time data processing continues to grow, the market share of Samza is forecasted to increase further in the future. Its ability to handle massive data streams efficiently and reliably positions Samza as a leading contender in the stream processing landscape, poised for continued growth and adoption by businesses seeking robust data processing solutions.

如何获得使用Samza的公司的最新列表？

您可以访问 TheirStack.com，获取使用 Samza 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。

Samza 有多少客户？

截至目前，我们拥有关于 215 家使用 Samza 的公司的数据。

谁在使用Samza?

Samza 被广泛应用于包括 "It Services And It Consulting", "Software Development", "Banking", "Advertising Services", "Software Development", "Technology, Information And Internet", "Online Audio And Video Media", "It Services And It Consulting", "Software Development" 在内的各个行业的各种组织中。欲了解所有使用 Samza 的行业的完整列表，请访问 TheirStack.com。

哪些公司使用Samza?

一些使用Samza的公司包括Singularity Data, MoEngage Inc, LinkedIn, Zopa, Digital Turbine, Zippin, Meesho, Scribd, RisingWave Labs, BeyondTrust以及更多公司。您可以在TheirStack.com上找到使用Samza的215家公司完整列表。

哪些国家使用Samza最多？

根据我们的数据，Samza 在 美国 (92 companies), 英国 (10 companies), 印度 (9 companies), 法国 (4 companies), 澳大利亚 (2 companies), 荷兰 (2 companies), 西班牙 (2 companies), 比利时 (1 companies), 百慕大 (1 companies), 巴西 (1 companies) 最受欢迎。然而，它被全世界的公司所使用。

如何找到使用Samza的公司？

您可以在TheirStack.com上搜索Samza，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。