使用Kafka Streams的公司
It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
使用Kafka Streams的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"kafka-streams\"
]
}"Technology
is any of
Kafka Streams
员工数370Marketing ServicesKafka Streams高置信度
员工数1.1k收入$256MSoftware DevelopmentKafka Streams高置信度
员工数355Software DevelopmentKafka Streams高置信度
员工数107收入$30MSoftware DevelopmentKafka Streams高置信度
员工数619Software DevelopmentKafka Streams高置信度
员工数180ConstructionKafka Streams高置信度
员工数231收入$3.5MSoftware DevelopmentKafka Streams高置信度
员工数8.5k收入$71MInsuranceKafka Streams高置信度
员工数169Technology, Information and InternetKafka Streams高置信度
员工数1.8k收入$32MSoftware DevelopmentKafka Streams高置信度
我们拥有关于3,706家公司和用户使用Kafka Streams的数据。我们的Kafka Streams用户和客户列表可供下载，并附有重要的公司信息，包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Kafka Streams 用户
- 如何自定义此列表？
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知？
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始，当有新公司使用该技术时，您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM？
您可以将此数据导出为Excel文件，然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布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。
我们每天刷新数据，以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
Kafka Streams is a powerful technology that enables developers to build custom applications and microservices with real-time data processing capabilities. It is an open-source stream processing library that is part of the Apache Kafka project. With Kafka Streams, developers can easily transform and manipulate data streams in real-time, 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 real-time. 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 high-performance, fault-tolerant 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 go-to choice for companies seeking real-time data processing capabilities.
Currently, Kafka Streams holds a substantial market share within the Stream Processing category, with many organizations adopting it for their real-time data processing needs. The technology's 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 real-time 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.