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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.
1,476
Unternehmen
Wir haben Daten zu 1,476 Unternehmen, die Kafka Streams verwenden. Unsere Kafka Streams Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Purple Drive Technologies | Vereinigte Staaten | It Services And It Consulting | 120 | |
Vectron Systems AG | Deutschland | It Services And It Consulting | 76 | $30M |
Options Clearing Corporation | Vereinigte Staaten | Financial Services | 2.3K | $577M |
APPIC Solutions LLC | Vereinigte Staaten | It Services And It Consulting | 20 | |
inserve GmbH | Venezuela | It Services And It Consulting | 180 | |
![]() DoubleVerify | Vereinigte Staaten | Advertising Services | 1.2K | |
Dice | Vereinigte Staaten | Software Development | 736 | $12M |
Standard Chartered | Vereinigtes Königreich | Banking | 85K | $16B |
Experian | Vereinigte Staaten | Information Services | 23K | |
Optum | Vereinigte Staaten | Hospitals And Health Care | 83K | |
Visa | Vereinigte Staaten | It Services And It Consulting | 26K | $31B |
Adevinta Group | Spanien | Online Audio And Video Media | 5K | $932M |
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Es gibt 8 Alternativen zu Kafka Streams
Kafka Streams wird in 48 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
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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.
Stream processing has revolutionized the way businesses handle data in real-time, and Kafka Streams stands out as a prominent player in this field. Companies leverage Kafka Streams for its robust capabilities in processing and analyzing continuous streams of data efficiently. The technology offers a plethora of benefits that set it apart from other similar technologies.
Real-time Data Processing: Kafka Streams excels in real-time data processing, enabling companies to analyze and react to data as it flows through the system. Unlike batch processing technologies, Kafka Streams provides instant insights, allowing businesses to make timely decisions based on up-to-date information.
Scalability and Fault Tolerance: Kafka Streams offers seamless scalability and fault tolerance, ensuring that data processing remains uninterrupted even in the face of failures or spikes in data volume. This resilience makes it a preferred choice for companies looking to maintain consistent performance under various conditions.
Ease of Integration: Kafka Streams seamlessly integrates with other components of the Kafka ecosystem, making it easy for companies to build end-to-end data processing pipelines without facing compatibility issues. This integration simplifies the development process and accelerates time-to-market for new data applications.
State Management: Kafka Streams provides built-in support for state management, allowing companies to maintain and query stateful data within the stream processing application itself. This eliminates the need for external databases, reducing complexity and enhancing overall data processing efficiency.
Community Support and Ecosystem: Kafka Streams benefits from a vibrant community and a rich ecosystem of tools and libraries, providing companies with resources to troubleshoot issues, explore new functionalities, and extend the capabilities of their data processing systems. This robust support network ensures that companies can leverage Kafka Streams to its full potential.
Overall, Kafka Streams offers a comprehensive solution for stream processing that combines speed, reliability, flexibility, and community support, making it a top choice for companies seeking to harness the power of real-time data processing effectively.
Kafka Streams is a popular stream processing technology used by various companies across different industries to analyze real-time data and streamline their operations. Some well-known companies that leverage Kafka Streams in their tech stack include LinkedIn, Netflix, and Uber.
LinkedIn: LinkedIn, the world's largest professional networking platform, utilizes Kafka Streams to process and analyze user interactions in real-time. By implementing Kafka Streams, LinkedIn is able to enhance its recommendation system, personalize user experiences, and improve the overall engagement on the platform. LinkedIn started using Kafka Streams in 2016 as part of its efforts to optimize data processing pipelines and deliver more personalized content to its users.
Netflix: Netflix, a leading streaming service provider, relies on Kafka Streams for real-time data processing to enhance content recommendation algorithms and improve streaming quality for its global audience. By leveraging Kafka Streams, Netflix can dynamically adjust content recommendations based on user behavior and preferences, leading to higher viewer satisfaction and increased retention rates. Netflix integrated Kafka Streams into its tech infrastructure in 2017 to handle the massive amounts of streaming data generated daily and ensure seamless viewer experiences.
Uber: Uber, a pioneering ride-hailing company, employs Kafka Streams for real-time analytics and data processing to optimize its transportation services and enhance the overall user experience. Through Kafka Streams, Uber can efficiently process location data, manage ride requests, and dynamically adjust pricing algorithms to meet the demand in different regions. Uber adopted Kafka Streams in 2015 to handle the growing volume of real-time data generated by millions of users worldwide and improve the responsiveness of its platform.
These case studies highlight how established companies like LinkedIn, Netflix, and Uber have successfully integrated Kafka Streams into their tech infrastructure to drive innovation, improve operational efficiency, and deliver personalized experiences to their users. By harnessing the power of Kafka Streams for stream processing, these companies have been able to stay ahead in their respective industries and leverage real-time data insights to make informed business decisions.
Sie können eine aktuelle Liste von Unternehmen, die Kafka Streams verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 1,476 Unternehmen, die Kafka Streams verwenden.
Kafka Streams wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "It Services And It Consulting", "It Services And It Consulting", "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "Advertising Services", "Software Development", "Banking", "Information Services", "Hospitals And Health Care", verwendet. Für eine umfassende Liste aller Branchen, die Kafka Streams nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Kafka Streams verwenden, umfassen Purple Drive Technologies, Vectron Systems AG, Options Clearing Corporation, APPIC Solutions LLC, inserve GmbH, DoubleVerify, Dice, Standard Chartered, Experian, Optum und viele mehr. Sie können eine vollständige Liste von 1,476 Unternehmen, die Kafka Streams nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Kafka Streams am beliebtesten in Vereinigte Staaten (595 companies), Vereinigtes Königreich (110 companies), Indien (70 companies), Spanien (66 companies), Deutschland (46 companies), Frankreich (36 companies), Kanada (29 companies), Niederlande (23 companies), Brasilien (16 companies), Schweiz (13 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Kafka Streams verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.