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It is an open source similarity search engine for massive-scale feature vectors. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
237
aziende
Abbiamo dati su 237 aziende che usano Milvus. La nostra lista di clienti Milvus 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 |
---|---|---|---|---|
Royal Bank of Canada | Canada | Banking | 84K | $36B |
Dice | Stati Uniti | Software Development | 736 | $12M |
RBC | Canada | Banking | 94K | $32B |
Photon | Regno Unito | It Services And It Consulting | 5.2K | $1B |
Circle | Stati Uniti | Financial Services | 1.2K | $115M |
Zilliz | Stati Uniti | Software Development | 109 | |
BigBear.ai | Stati Uniti | Software Development | 501 | |
Virtusa | Stati Uniti | It Services And It Consulting | 18K | |
Brado | Stati Uniti | Marketing Services | 1K | |
CliniComp | Stati Uniti | It Services And It Consulting | 160 | |
Goodnotes | Hong Kong | Software Development | 217 | |
Ascendion | Stati Uniti | Technology, Information And Internet | 2.7K |
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Milvus è utilizzata in 19 paesi
Ci sono 9 alternative a Milvus
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.
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Milvus is an open-source vector database built to handle large-scale vector similarity search operations efficiently. It is designed to store and search massive amounts of vector data, which makes it ideal for applications like image similarity search, recommendation systems, and natural language processing tasks that involve high-dimensional data. Milvus provides fast and accurate similarity search capabilities, allowing users to index, search, and retrieve vectors with ease.
In the realm of Search Engines, Milvus falls under the category of vector databases. These databases specialize in storing and retrieving high-dimensional vectors efficiently. By organizing data in vector form, these databases enable users to perform similarity searches with minimal latency, making them crucial for applications where similarity matching is a key requirement. Milvus stands out in this category by offering a robust, open-source solution that can scale to handle vast amounts of vector data.
Milvus was founded in 2019 by Zilliz, a company dedicated to developing cutting-edge technologies in the field of vector data management. The motivation behind the creation of Milvus was to address the growing need for efficient and scalable solutions for similarity search tasks in various industries. Since its inception, Milvus has gained traction in the tech community due to its powerful features and ease of use, attracting a significant user base globally.
Currently, Milvus holds a substantial market share in the vector database category, with its user-friendly interface and high-performance capabilities contributing to its popularity. As the demand for efficient vector similarity search solutions continues to rise across different sectors, Milvus is poised to experience further growth in the future. With ongoing developments and enhancements, Milvus is well-positioned to solidify its position as a leading technology in the realm of vector databases.
Milvus is a cutting-edge technology that companies use to enhance their search engines, providing them with advanced capabilities to handle massive amounts of data efficiently. With Milvus, companies can streamline their search processes, improve search accuracy, and deliver faster results to their users.
Milvus offers unparalleled scalability, allowing companies to effortlessly scale their search engine systems as their data needs grow. Unlike traditional search technologies, Milvus can handle vast amounts of data without compromising on performance, making it ideal for companies experiencing rapid data expansion.
Milvus ensures lightning-fast search speeds and high-performance levels, enabling companies to deliver real-time search results to their users. Compared to other search engine technologies, Milvus stands out for its ability to process queries quickly, resulting in a seamless user experience and increased operational efficiency.
With Milvus, companies can unlock advanced search capabilities, such as similarity search and vector similarity search, empowering them to extract valuable insights from complex data sets. This sophisticated functionality sets Milvus apart from traditional search engines, enabling companies to discover hidden patterns and trends within their data effortlessly.
Milvus is a powerful tool used by various companies in the Search Engines category to enhance their operations and provide cutting-edge solutions to their users. Here are some case studies showcasing how different companies leverage Milvus to achieve their goals:
Company X: Company X, a leading e-commerce platform, utilizes Milvus for real-time product recommendations to enhance user experience. By implementing Milvus, Company X has been able to personalize recommendations based on user behavior, leading to a significant increase in conversion rates since they started using it in 2019.
Tech Company Y: Tech Company Y, specializing in image recognition technology, relies on Milvus for efficient image similarity search within their platform. By leveraging Milvus, Tech Company Y has improved the accuracy and speed of image searches for their users, resulting in positive feedback since integrating the technology in 2020.
Startup Z: Startup Z, a promising AI startup, integrates Milvus for natural language processing tasks, such as semantic search and text clustering. With Milvus, Startup Z has been able to process vast amounts of textual data efficiently, leading to faster insights and improved decision-making since adopting the tool in early 2021.
These case studies demonstrate how companies across various industries utilize Milvus to streamline processes, enhance user experiences, and drive innovation in the field of Search Engines technology.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Milvus 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 237 aziende che utilizzano Milvus.
Milvus è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Banking", "Software Development", "Banking", "It Services And It Consulting", "Financial Services", "Software Development", "Software Development", "It Services And It Consulting", "Marketing Services", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano Milvus, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Milvus includono Royal Bank of Canada, Dice, RBC, Photon, Circle, Zilliz, BigBear.ai, Virtusa, Brado, CliniComp e molte altre. Puoi trovare un elenco completo di 237 aziende che utilizzano Milvus su TheirStack.com.
Secondo i nostri dati, Milvus è più popolare in Stati Uniti (119 companies), Regno Unito (11 companies), India (9 companies), Germania (7 companies), Singapore (5 companies), Canada (4 companies), Brasile (3 companies), Francia (3 companies), Svizzera (3 companies), Hong Kong (2 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Milvus 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.