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Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform
85
aziende
Abbiamo dati su 85 aziende che usano Apache Kudu. La nostra lista di clienti Apache Kudu è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
KPS Software GmbH | Germania | It Services And It Consulting | 18 | |
![]() Cloudera | Stati Uniti | Software Development | 3.1K | $905M |
Bank of America | Stati Uniti | Banking | 208K | |
Twilio | Stati Uniti | Software Development | 8.6K | $2.8B |
Vodafone | Regno Unito | Telecommunications | 137K | $60B |
Quest Global | Singapore | It Services And It Consulting | 50K | $12M |
IT LeasingTeam | Polonia | Staffing And Recruiting | 39 | |
SAKSOFT PTE LIMITED | India | It Services And It Consulting | 1.7K | $58M |
onhunters | Spagna | Human Resources Services | 11 | |
Spagna | 300 | |||
TANGSPAC CONSULTING PTE LTD | Singapore | Staffing And Recruiting | 79 | $58M |
PERSOLKELLY | Singapore | Human Resources Services | 3.9K |
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Apache Kudu è utilizzata in 12 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Apache Kudu is an open-source data storage engine that is part of the Apache Hadoop ecosystem. It is designed to provide real-time analytics on fast data. Kudu combines the features of both traditional Hadoop Distributed File System (HDFS) and HBase, offering the ability to perform real-time analytical queries along with fast inserts and updates. This makes it an ideal solution for applications that require fast analytics on rapidly changing data.
Apache Kudu falls under the category of Big Data Tools. It specifically focuses on providing a reliable, high-performance storage layer that bridges the gap between HDFS and HBase. The technology addresses the need for real-time analytics on fast and changing data streams, catering to organizations dealing with large datasets that require timely and accurate analysis.
Founded in 2015 by Cloudera and inspired by Google's Bigtable and Spanner, Apache Kudu was motivated by the need for a storage engine that could seamlessly integrate with the Apache Hadoop ecosystem while providing real-time analytics capabilities. Since its inception, Apache Kudu has gained popularity among data engineers and analysts looking to harness the power of big data for real-time insights.
Currently, Apache Kudu holds a significant market share within the Big Data Tools category. Its efficient storage management and real-time analytics capabilities have positioned it as a preferred choice for organizations handling large volumes of data. As the demand for real-time analytics continues to grow, it is foreseeable that Apache Kudu's market share will likely expand in the future, solidifying its presence as a key player in the realm of big data technologies.
Apache Kudu is a popular choice for companies seeking efficient and real-time analytics solutions in the realm of big data tools. Offering a combination of fast analytics on fast data, Kudu is an open-source storage engine that provides a columnar storage format with efficient data encoding. Its seamless integration with Apache Impala, Apache Spark, and Apache MapReduce further enhances its appeal among organizations looking to streamline their data processing pipelines.
Apache Kudu excels in delivering high performance due to its ability to store data in a columnar format, enabling faster data retrieval and processing compared to traditional row-oriented databases. This makes it a preferred choice for use cases requiring real-time analytics with low latency.
Unlike other similar technologies, Apache Kudu ensures strong data consistency with ACID-compliant transactions, making it a reliable option for applications demanding strict data integrity and reliability. This feature sets it apart from other solutions that may compromise consistency for performance gains.
Apache Kudu offers exceptional scalability, allowing companies to effortlessly handle large volumes of data and concurrent user requests. Its distributed architecture enables horizontal scaling, ensuring that organizations can seamlessly expand their data infrastructure as their business grows without compromising on performance.
Apache Kudu, a popular open-source Big Data storage engine, is used by a variety of companies to effectively manage and analyze large volumes of data. Here are a few real-world case studies showcasing how companies leverage Apache Kudu:
1. Uber
Uber, a leading technology company in the transportation industry, utilizes Apache Kudu for real-time analytics and data warehousing. They started using Apache Kudu in 2016 to streamline their data processing workflows and improve the performance of their data analytics platform. By integrating Apache Kudu into their tech stack, Uber has been able to handle massive amounts of data generated by their app in a more efficient and scalable manner.
2. Cloudera
Cloudera, a prominent provider of data management and analytics solutions, relies on Apache Kudu to enhance their data storage capabilities. They incorporated Apache Kudu into their offerings to provide customers with a high-performance, scalable platform for real-time analytics and data processing. Cloudera started using Apache Kudu in 2015 and has since seen significant improvements in data processing speed and query performance.
3. Xiaomi
Xiaomi, a multinational electronics company known for its smartphones and IoT devices, adopted Apache Kudu in 2018 to bolster their data infrastructure. By leveraging Apache Kudu, Xiaomi is able to store and query vast amounts of data generated by their products and services in real-time. The integration of Apache Kudu has improved data accessibility and analysis, enabling Xiaomi to make data-driven decisions more effectively.
These case studies highlight how well-established companies such as Uber, Cloudera, and Xiaomi have successfully integrated Apache Kudu into their tech stacks to drive data-driven insights and enhance their business operations in the realm of Big Data analytics.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Apache Kudu visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 85 aziende che utilizzano Apache Kudu.
Apache Kudu è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Software Development", "Banking", "Software Development", "Telecommunications", "It Services And It Consulting", "Staffing And Recruiting", "It Services And It Consulting", "Human Resources Services". Per un elenco completo di tutti i settori che utilizzano Apache Kudu, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Apache Kudu includono KPS Software GmbH, Cloudera, Bank of America, Twilio, Vodafone, Quest Global, IT LeasingTeam, SAKSOFT PTE LIMITED, onhunters, AGIO GLOBAL TECHNOLOGY e molte altre. Puoi trovare un elenco completo di 85 aziende che utilizzano Apache Kudu su TheirStack.com.
Secondo i nostri dati, Apache Kudu è più popolare in Stati Uniti (18 companies), Spagna (14 companies), India (8 companies), Singapore (5 companies), Canada (4 companies), Regno Unito (3 companies), Polonia (2 companies), Sudafrica (2 companies), Svizzera (2 companies), Francia (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Apache Kudu cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.