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KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.
693
entreprises
Nous disposons de données sur 693 entreprises qui utilisent KSQL. Notre liste de clients KSQL est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Intellibus | États-Unis | It Services And It Consulting | 66 | |
Pandora | Danemark | Retail Luxury Goods And Jewelry | 26K | $3.8B |
INCOME INSURANCE LIMITED | Singapour | Insurance | 2.4K | $35M |
Frontiers | Suisse | Research Services | 17K | $35M |
![]() Checkout.com | Royaume-Uni | Financial Services | 1.9K | $400M |
Version 1 | Irlande | It Services And It Consulting | 3.1K | $276M |
SiriusXM | États-Unis | Entertainment Providers | 6.4K | |
JPMorgan Chase Bank, N.A. | États-Unis | Financial Services | 76K | $135M |
Virtusa | États-Unis | It Services And It Consulting | 18K | |
CVS Health | États-Unis | Hospitals And Health Care | 300K | $331B |
![]() Epsilon | États-Unis | Advertising Services | 9.6K | $2.2B |
IDFC FIRST Bank | Inde | Banking | 38K | $2.7B |
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Statistiques d'Utilisation Technologique et Part de Marché
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Il y a 8 alternatives à KSQL
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
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KSQL is a powerful streaming SQL engine for Apache Kafka, allowing users to harness the streaming data processing capabilities of Kafka with the familiar syntax of SQL. This technology simplifies the development of real-time data processing applications by enabling users to write SQL queries to process data streams in real-time. KSQL provides a seamless and intuitive interface for working with streaming data, making it accessible to a broader audience beyond traditional developers and data engineers.
Stream Processing is the category under which KSQL falls. Stream Processing technologies are designed to process and analyze continuous streams of data in real-time, making them ideal for applications where immediate insights and actions are required based on incoming data. KSQL, as a stream processing technology, excels in handling large volumes of streaming data efficiently, making it a valuable tool for organizations looking to derive real-time insights from their data streams.
Founded by Confluent, the company behind Apache Kafka, KSQL was introduced to the market in 2017 with the goal of democratizing real-time stream processing by providing a simple yet powerful tool for working with Kafka streams using SQL. Confluent's motivation behind KSQL was to lower the barrier to entry for processing real-time data and make it more accessible to data analysts, business users, and developers who are proficient in SQL.
Currently, KSQL holds a significant market share within the stream processing category, thanks to its ease of use and seamless integration with Apache Kafka. As the demand for real-time data processing continues to grow across industries, it is expected that KSQL's market share will also see an upward trend in the future. The user-friendly nature of KSQL and its ability to empower a broader user base to work with streaming data position it well for sustained growth and adoption in the evolving data landscape.
KSQL is a powerful tool used by companies for stream processing, allowing them to unlock valuable insights from real-time data streams. With its user-friendly interface and seamless integration with Apache Kafka, KSQL has become a popular choice for organizations looking to leverage the benefits of stream processing technology.
Increased Efficiency and Speed: KSQL enables companies to process and analyze streaming data in real-time, significantly reducing the time it takes to derive insights compared to batch processing methods. By eliminating the need to store data before analysis, KSQL enhances operational efficiency and enables faster decision-making.
Ease of Use and Accessibility: Unlike traditional stream processing technologies that require specialized coding skills, KSQL's SQL-like syntax makes it intuitive and accessible to a broader range of users within an organization. This simplifies the development process and reduces the learning curve for adopting stream processing capabilities.
Scalability and Flexibility: KSQL seamlessly scales with the growth of data volumes and processing requirements, providing companies with the flexibility to handle increasing data streams without compromising performance. Its distributed architecture ensures high availability and fault tolerance, making it a robust solution for organizations of all sizes.
KSQL, a streaming SQL engine for Apache Kafka, is utilized by various companies across different industries to process and analyze real-time data efficiently. Let's explore some real-world case studies of companies leveraging KSQL for stream processing:
1. Uber Uber, the renowned ride-sharing company, began utilizing KSQL to handle the high volume of real-time data generated by its operations. By implementing KSQL, Uber significantly enhanced its ability to process streaming data for crucial functions such as dynamic pricing, real-time driver dispatch, and trip optimization. The adoption of KSQL enabled Uber to achieve more accurate and timely insights into its operations, ultimately leading to better decision-making and improved customer experiences.
2. Pinterest Pinterest, the popular visual discovery platform, integrated KSQL into its data infrastructure to streamline the processing of real-time user interactions and engagement data. By leveraging KSQL, Pinterest was able to build advanced real-time analytics applications that empowered its teams to gain instant insights into user behavior, content performance, and recommendations. This adoption of KSQL revolutionized Pinterest's data processing capabilities, enabling faster data-driven decisions and enhancing user experience on the platform.
3. Zalando Zalando, Europe's leading online fashion platform, adopted KSQL as a key component of its data processing pipeline to empower its data engineers and analysts with real-time data processing capabilities. By harnessing KSQL, Zalando accelerated the processing of streaming data related to customer interactions, inventory management, and supply chain operations. The integration of KSQL enabled Zalando to extract valuable insights from real-time data streams, leading to improved operational efficiency, personalized customer experiences, and enhanced decision-making processes.
These case studies illustrate how companies like Uber, Pinterest, and Zalando have successfully leveraged KSQL for stream processing to drive innovation, enhance operational efficiency, and deliver superior customer experiences in today's data-driven landscape.
Vous pouvez accéder à une liste actualisée des entreprises utilisant KSQL en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 693 entreprises qui utilisent KSQL.
KSQL est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting", "Retail Luxury Goods And Jewelry", "Insurance", "Research Services", "Financial Services", "It Services And It Consulting", "Entertainment Providers", "Financial Services", "It Services And It Consulting", "Hospitals And Health Care". Pour une liste complète de tous les secteurs utilisant KSQL, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent KSQL incluent Intellibus, Pandora, INCOME INSURANCE LIMITED, Frontiers, Checkout.com, Version 1, SiriusXM, JPMorgan Chase Bank, N.A., Virtusa, CVS Health et bien d'autres encore. Vous pouvez trouver une liste complète des 693 entreprises qui utilisent KSQL sur TheirStack.com.
Selon nos données, KSQL est le plus populaire dans États-Unis (299 companies), Royaume-Uni (45 companies), Inde (36 companies), Espagne (24 companies), France (22 companies), Singapour (14 companies), Canada (10 companies), Allemagne (10 companies), Australie (9 companies), Pays-Bas (8 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant KSQL en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.
KSQL est utilisé dans 32 pays