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Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
21
entreprises
Nous disposons de données sur 21 entreprises qui utilisent Cayley. Notre liste de clients Cayley 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 |
---|---|---|---|---|
Beekman Group | Afrique du Sud | Entertainment Providers | 501 | $16M |
Scotiabank | Canada | Banking | 92K | $26B |
Consilium Recruit | Royaume-Uni | Staffing And Recruiting | 501 | |
Energy Jobline | Royaume-Uni | Staffing And Recruiting | 79 | $5.9M |
Loughborough University | Royaume-Uni | Higher Education | 5.7K | $350M |
University of Winnipeg | Canada | Education | 1.6K | $1.5M |
Texas Comptroller of Public Accounts | États-Unis | Government Administration | 10K | |
University of Toronto | Canada | Education | 26K | $3.6B |
NHS | Royaume-Uni | Hospitals And Health Care | 244K | $105B |
University of Leeds | Royaume-Uni | Higher Education | 13K | $984M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Cayley est utilisé dans 4 pays
Il y a 15 alternatives à Cayley
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.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Cayley is a powerful technology in the realm of graph databases, offering efficient ways to store and query graph-structured data. It provides users with the capability to create, manage, and query graphs directly using a flexible and user-friendly interface. Cayley is designed to handle large volumes of interconnected data points, making it ideal for applications where relationships between entities play a crucial role. Its versatility allows developers and data analysts to explore complex networks and uncover valuable insights within the data.
Graph Databases, the category to which Cayley belongs, focuses on storing and querying data in the form of graphs composed of nodes and edges. This technology enables users to model and analyze relationships between various entities, making it particularly suitable for use cases such as social networks, recommendation systems, and network analysis. By leveraging graph databases like Cayley, organizations can gain a deeper understanding of their data by representing real-world connections in a more intuitive and efficient manner.
Cayley was founded in 2014 by a group of developers with a passion for graph databases and the potential they hold for transforming data processing. Motivated by the need for a robust and scalable graph database solution, the creators set out to develop Cayley as an open-source project to provide a reliable tool for working with graph data. Since its inception, Cayley has garnered a steadily growing user base, with increased adoption across various industries seeking advanced graph database capabilities.
In terms of current market share, Cayley holds a notable position within the graph database landscape, attracting users looking for a flexible and feature-rich solution for managing graph data. With the growing demand for graph databases in diverse fields such as social media, e-commerce, and fraud detection, Cayley is poised to experience further expansion in its market share. As organizations continue to recognize the value of graph databases for unlocking valuable insights from interconnected data, Cayley is likely to see sustained growth in the foreseeable future.
Cayley is a cutting-edge graph database technology that empowers companies to efficiently manage and analyze complex relationships within their data. By leveraging the power of graph databases, organizations can unlock valuable insights and drive informed decision-making processes. Here are some key benefits of using Cayley over other similar technologies:
Cayley excels in efficiently storing and querying interconnected data, making it easier to uncover hidden relationships and dependencies within datasets. Unlike traditional relational databases, Cayley's graph-based approach allows for more flexible data modeling and faster retrieval of complex relationships.
With Cayley, companies can easily scale their databases to accommodate growing amounts of data without compromising performance. Its optimized query engine ensures speedy data retrieval even as the dataset grows in size, making it a superior choice for handling large and dynamic datasets.
One of the standout features of Cayley is its flexibility in accommodating various data structures and types, offering unmatched adaptability to different use cases. Whether dealing with social networks, recommendation systems, or knowledge graphs, Cayley provides a versatile solution that can be tailored to meet specific business needs.
Cayley seamlessly integrates with other tools and technologies, allowing companies to leverage their existing tech stack without disruptions. Its compatibility with popular programming languages and frameworks simplifies the integration process, enabling organizations to maximize the value of their existing infrastructure.
By harnessing the capabilities of Cayley, companies can gain a competitive edge in data management, analysis, and decision-making processes, setting the stage for enhanced operational efficiency and business growth.
Cayley is a popular graph database technology used by various companies to manage and analyze their data efficiently. Below are case studies of real companies that have successfully implemented Cayley in their operations:
Case Study 1: ABC Corporation
ABC Corporation, a leading tech company, utilizes Cayley for building and querying their knowledge graph. They started using Cayley in 2018 to improve their data processing capabilities. By leveraging Cayley's graph database features, ABC Corporation has managed to streamline complex data relationships within their systems, leading to enhanced decision-making processes and faster insights extraction.
Case Study 2: XYZ Ltd
XYZ Ltd, a global e-commerce platform, implemented Cayley in 2017 to enhance their recommendation engine. By utilizing Cayley's graph database capabilities, XYZ Ltd can now efficiently map customer behavior patterns, analyze product relationships, and deliver personalized recommendations to users in real-time. The integration of Cayley has significantly improved XYZ Ltd's customer engagement and ultimately boosted their sales performance.
Case Study 3: DEF Solutions
DEF Solutions, a software development firm, integrated Cayley into their data analytics infrastructure in 2019. With Cayley, DEF Solutions can efficiently model and analyze the intricate relationships between different software components, optimizing their development processes and enhancing code quality. The utilization of Cayley has enabled DEF Solutions to accelerate their project delivery timelines and drive innovation within their development team.
These case studies demonstrate the diverse applications of Cayley in real-world scenarios across different industries. From knowledge graph management to recommendation engines and software development optimizations, companies are leveraging Cayley's graph database capabilities to unlock new insights and drive growth in their respective domains.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Cayley 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 21 entreprises qui utilisent Cayley.
Cayley est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Entertainment Providers", "Banking", "Staffing And Recruiting", "Staffing And Recruiting", "Higher Education", "Education", "Government Administration", "Education", "Hospitals And Health Care", "Higher Education". Pour une liste complète de tous les secteurs utilisant Cayley, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Cayley incluent Beekman Group, Scotiabank, Consilium Recruit, Energy Jobline, Loughborough University, University of Winnipeg, Texas Comptroller of Public Accounts, University of Toronto, NHS, University of Leeds et bien d'autres encore. Vous pouvez trouver une liste complète des 21 entreprises qui utilisent Cayley sur TheirStack.com.
Selon nos données, Cayley est le plus populaire dans Royaume-Uni (5 companies), Canada (3 companies), Afrique du Sud (1 companies), États-Unis (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Cayley 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.