Question 1

这些数据的来源是什么？

Accepted Answer

我们的数据源自从数百万家公司收集的职位发布信息。我们在公司官网、招聘网站及其他招聘平台上监测这些发布。分析职位发布能够可靠地帮助我们了解各家公司所采用的技术，包括其内部工具的使用情况。

Question 2

数据多久更新一次？

Accepted Answer

我们每日刷新数据，确保您获取到最新可用的信息。如此频繁的更新流程，保证我们的洞察与情报能够反映行业内的最新发展与趋势。

Question 3

什么是Kafka Streams？

Accepted Answer

Kafka Streams is a powerful technology that enables developers to build custom applications and microservices with realtime data processing capabilities It is an opensource stream processing library that is part of the Apache Kafka project With Kafka Streams developers can easily transform and manipulate data streams in realtime allowing for efficient and scalable processing of data within their applications

Stream Processing is the category to which Kafka Streams belongs focusing on the processing and analysis of continuous data streams In essence Stream Processing involves the handling of data as it is generated providing businesses with the ability to react quickly to changing data and make informed decisions in realtime Kafka Streams specifically enables users to perform tasks such as data filtering aggregation and joining across various streams all while ensuring fault tolerance and scalability

Kafka Streams was founded in 2016 as part of the Apache Kafka project driven by the need for a highperformance faulttolerant stream processing solution that seamlessly integrates with the Kafka messaging system Its inception aimed to empower developers to leverage the power of Kafka for building robust stream processing applications without the need for external dependencies Since then Kafka Streams has gained significant traction in the data processing landscape becoming a goto choice for companies seeking realtime data processing capabilities

Currently Kafka Streams holds a substantial market share within the Stream Processing category with many organizations adopting it for their realtime data processing needs The technologys seamless integration with Apache Kafka coupled with its robust feature set and scalability positions Kafka Streams for continued growth in the future As the demand for realtime data processing solutions increases across industries it is likely that Kafka Streams will continue to expand its market share and solidify its presence as a leading stream processing technology

Question 4

如何获取使用Kafka Streams的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Kafka Streams 的公司最新列表。我们的平台提供一个全面的数据库，涵盖采用各类技术和内部工具的公司。

Question 5

Kafka Streams 有多少客户？

Accepted Answer

截至目前，我们拥有关于使用Kafka Streams的3,538家公司的数据。

Question 6

谁在使用Kafka Streams？

Accepted Answer

Kafka Streams 被广泛应用于各行各业的各类组织，包括 "Software Development", "Construction", "Software Development", "Staffing and Recruiting", "Software Development", "Software Development", "IT Services and IT Consulting", "Hospitals and Health Care", "Financial Services", "Maritime Transportation"。如需查看使用 Kafka Streams 的所有行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Kafka Streams？

Accepted Answer

使用Kafka Streams的公司包括Vectron Systems AG, inserve GmbH, Vortexa, New York Technology Partners, Sumo Logic, Coralogix, Kobie, Oak Street Health, JPMorganChase, Hapag-Lloyd AG等更多公司。你可以在TheirStack.com上找到使用Kafka Streams的3,538家公司的完整列表。

Question 8

在哪些国家 Kafka Streams 使用得最多？

Accepted Answer

根据我们的数据，Kafka Streams 在 西班牙 (77 companies), 阿联酋 (18 companies), 阿塞拜疆 (1 companies), 拉脱维亚 (1 companies), 葡萄牙 (16 companies), 泰国 (2 companies), 爱尔兰 (9 companies), 波兰 (33 companies), 阿根廷 (2 companies), 越南 (3 companies) 最受欢迎。然而，全球各地的公司都在使用它。

Question 9

如何找到使用Kafka Streams的公司？

Accepted Answer

你可以在 TheirStack.com 上搜索 Kafka Streams，从而找到使用它的公司。我们追踪来自数以百万计公司的职位发布，并据此发现他们在使用哪些技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

公司	国家	行业	员工	收入	技术
Vectron Systems AG	德国	Software Development	107	$30M	Kafka Streams
inserve GmbH	委内瑞拉	Construction	180
Vortexa	英国	Software Development	198	$3.5M
New York Technology Partners	美国	Staffing and Recruiting	188	$30M
Sumo Logic	美国	Software Development	1.1k	$256M
Coralogix	美国	Software Development	571
Kobie	美国	IT Services and IT Consulting	393
Oak Street Health	美国	Hospitals and Health Care	4.7k
JPMorganChase	美国	Financial Services	244k
Hapag-Lloyd AG	德国	Maritime Transportation	15k

使用 Kafka Streams 的公司

Kafka Streams 客户按国家划分

如何定位Kafka Streams用户

美国

英国

印度

西班牙

法国

德国

瑞士

加拿大

波兰

比利时

Kafka Streams 的替代方案与竞争对手

Apache Spark

Apache Spark Streaming

Apache Flink

PM2

Microsoft App-V

KSQL

Apache Storm

Apache Heron

Heron

Redpanda

Faust

Apache Samza

Kapacitor

Azure Video Indexer

riko

Apama

Azure Text Analytics

Humanify

Amazon Kinesis Data Streams (KDS)

Apache Gearpump

Splunk Data Stream Processor (DSP)

Amazon WorkSpaces Streaming Protocol

Apama Streaming Analytics

这些数据的来源是什么？

这些数据的来源是什么？

数据多久更新一次？

数据多久更新一次？

什么是Kafka Streams？

什么是Kafka Streams？

如何获取使用Kafka Streams的公司的最新列表？

如何获取使用Kafka Streams的公司的最新列表？

Kafka Streams 有多少客户？

Kafka Streams 有多少客户？

谁在使用Kafka Streams？

谁在使用Kafka Streams？

哪些公司使用Kafka Streams？

哪些公司使用Kafka Streams？

在哪些国家 Kafka Streams 使用得最多？

在哪些国家 Kafka Streams 使用得最多？

如何找到使用Kafka Streams的公司？

如何找到使用Kafka Streams的公司？

使用Kafka Streams的公司列表