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It is a stream processing library, porting the ideas from Kafka Streams to Python. It provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink.
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。
Faust 被用于 19 个国家
我们掌握了关于使用Faust的266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
Faust
| 公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
|---|---|---|---|---|---|
 德国 | It Services And It Consulting | 9 |
| Faust | |
 英国 | It Services And It Consulting | 11K | $7.5B | Faust | |
Hospitals And Health Care |
| Faust | |||
 美国 | It Services And It Consulting | 1.1K | $200M | Faust | |
Staffing And Recruiting | 51 |
| Faust | ||
德国 | Hospitality | 501 |
| Faust | |
| Faust | ||||
Broadcast Media Production And Distribution | 2 |
| Faust | ||
德国 | Retail | 10K | $172M | Faust | |
德国 | 3 |
| Faust |
有 23 个 Faust 替代品
37.8k
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544
214
184
99
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11
6
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2
2
1
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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。
Faust is a powerful and flexible stream processing library built in Python. It offers a high-level programming model for processing continuous streams of data in real-time. Faust is designed to handle high-throughput, low-latency data processing tasks and is often used in applications that require real-time analytics, monitoring, and data transformation.
In the realm of stream processing, Faust falls into the category of complex event processing (CEP) systems. CEP systems like Faust enable organizations to analyze and act upon data in motion, allowing them to make decisions based on real-time insights. Faust provides features such as event aggregation, windowing, and event correlation, making it a versatile tool for implementing stream processing pipelines.
Founded in 2014 by Robinhood, Faust was created with the motivation to simplify real-time data processing tasks for developers. Over the years, Faust has gained popularity among tech companies looking to implement stream processing solutions efficiently and at scale. With its user-friendly interface and robust performance, Faust has carved a niche for itself in the stream processing ecosystem.
Currently, Faust holds a modest market share within the stream processing landscape. However, with the increasing adoption of real-time data analytics and the growing demand for stream processing technologies, it is forecasted that Faust's market share is poised to grow in the future. As more organizations recognize the importance of real-time data insights, Faust is likely to witness an uptick in its user base and market relevance.
您可以访问 TheirStack.com，获取使用 Faust 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 266 家使用 Faust 的公司的数据。
Faust 被广泛应用于包括 "It Services And It Consulting", "It Services And It Consulting", "Hospitals And Health Care", "It Services And It Consulting", "Staffing And Recruiting", "Hospitality", "Broadcast Media Production And Distribution", "Retail" 在内的各个行业的各种组织中。欲了解所有使用 Faust 的行业的完整列表，请访问 TheirStack.com。
一些使用Faust的公司包括Startup Creator, Canon, Bürgerhospital und Clementine Kinderhospital gemeinnützige GmbH, WP Engine, W+P JobPartner GmbH, Ruby GmbH, Amtempo Personalmanagement GmbH & Co. KG, YZ Media, GLOBUS Markthallen Holding GmbH & Co. KG, CT Handelsgesellschaft mbH以及更多公司。您可以在TheirStack.com上找到使用Faust的266家公司完整列表。
根据我们的数据，Faust 在 德国 (63 companies), 美国 (41 companies), 英国 (17 companies), 瑞士 (6 companies), 加拿大 (4 companies), 荷兰 (4 companies), 法国 (3 companies), 丹麦 (2 companies), 澳大利亚 (1 companies), 奥地利 (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Faust，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。
