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Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
4,000
aziende
Abbiamo dati su 4,000 aziende che usano Neo4j. La nostra lista di clienti Neo4j 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 |
---|---|---|---|---|
EY | Regno Unito | Professional Services | 357K | $45B |
Intellibus | Stati Uniti | It Services And It Consulting | 66 | |
Leidos | Stati Uniti | It Services And It Consulting | 33K | $14B |
Equifax | Stati Uniti | Financial Services | 17K | $5.1B |
Nexient | Stati Uniti | It Services And It Consulting | 630 | $90M |
PwC | Regno Unito | Professional Services | 328K | $50B |
PRICE WATERHOUSE COOPERS | Australia | Accounting | 328K | $50B |
Ciena | Stati Uniti | Telecommunications | 9.6K | $3.6B |
itemis AG | Germania | It Services And It Consulting | 220 | $332K |
Version 1 | Irlanda | It Services And It Consulting | 3.1K | $276M |
Fidelity Investments | Stati Uniti | Financial Services | 77K | $25B |
Northrop Grumman | Stati Uniti | Defense And Space Manufacturing | 88K | $35B |
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Neo4j è utilizzata in 56 paesi
Ci sono 15 alternative a Neo4j
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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Neo4j is a leading graph database technology that revolutionizes data management by representing data as interconnected nodes and edges, allowing for the efficient traversal of complex relationships. Unlike traditional relational databases, Neo4j excels at handling data with many-to-many relationships, making it ideal for scenarios where relationships and connections are a central part of the data structure. Its query language, Cypher, is specifically designed for graph traversal and pattern matching, making it intuitive for developers and analysts to query and manipulate graph data.
Graph Databases, the category to which Neo4j belongs, are specialized databases optimized for managing and querying graph data structures. This category enables organizations to represent, store, and query relationships between data points in an efficient and scalable manner. Graph Databases are particularly well-suited for use cases such as social networks, fraud detection, recommendation engines, and network analysis, where the relationships between entities are crucial for deriving insights.
Neo4j was founded in 2007 by Emil Eifrem, with the motivation to build a scalable and efficient graph database that could address the limitations of traditional relational databases in handling interconnected data. Since its inception, Neo4j has gained widespread adoption in various industries, including finance, healthcare, and e-commerce, solidifying its position as a key player in the graph database market.
In the current market, Neo4j holds a significant market share within the graph database category, being a preferred choice for organizations looking to leverage the power of graph data structures. With the increasing demand for relationship-centric data analysis and the proliferation of use cases that benefit from graph databases, Neo4j is poised to experience further growth in the future as more companies recognize the value of graph database technologies.
Graph databases, such as Neo4j, have revolutionized the way companies manage and analyze their data. By representing data as nodes and relationships, Neo4j provides a flexible and efficient way to store and query complex interconnections. Companies across industries are turning to Neo4j for its unique capabilities and benefits:
Neo4j excels at providing real-time recommendations by quickly traversing relationships between data points. Unlike traditional relational databases that struggle with complex JOIN operations for recommendation systems, Neo4j's graph-based structure allows for fast and accurate recommendations even with large datasets.
Neo4j's graph algorithms enable companies to detect and prevent fraud with precision. By analyzing intricate relationships and patterns in real-time, Neo4j can identify fraudulent activities more effectively compared to traditional databases, leading to improved security measures.
For companies needing to analyze intricate networks, Neo4j offers unrivaled speed and scalability. Its graph-based approach simplifies the process of exploring and understanding complex network structures, making it ideal for social network analysis or infrastructure optimization.
Neo4j is a popular graph database technology used by various companies across different industries. Below are a few real-world case studies showcasing how companies have leveraged Neo4j to enhance their operations and gain valuable insights:
eBay, one of the world's largest online marketplaces, utilizes Neo4j for handling and analyzing complex data relationships within its platform. By implementing Neo4j, eBay has been able to improve its recommendation system by better understanding user preferences based on their interaction history. eBay started using Neo4j in 2018 and has since seen significant enhancements in personalized product recommendations, leading to increased user engagement and conversion rates.
Walmart, a retail giant known for its extensive supply chain network, adopted Neo4j to optimize its inventory management processes. Neo4j helps Walmart track and analyze relationships between various products, suppliers, and stores, enabling the company to make data-driven decisions that enhance efficiency and reduce operational costs. Walmart integrated Neo4j into its system in 2017 and has since experienced improvements in inventory turnover and supply chain transparency.
Airbnb, a global online marketplace for lodging and tourism experiences, has implemented Neo4j to enhance its fraud detection and prevention mechanisms. By utilizing Neo4j's graph database capabilities, Airbnb can detect patterns of suspicious behavior among users and listings more effectively, thereby safeguarding its platform and enhancing trust among users. Airbnb began leveraging Neo4j in 2019 and has since seen a significant reduction in fraudulent activities, leading to a more secure and reliable marketplace for its users.
These case studies demonstrate the diverse applications of Neo4j in real-world scenarios, showcasing how companies across different sectors have successfully integrated this graph database technology to drive innovation, enhance efficiency, and improve decision-making processes.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Neo4j 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 4,000 aziende che utilizzano Neo4j.
Neo4j è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Professional Services", "It Services And It Consulting", "It Services And It Consulting", "Financial Services", "It Services And It Consulting", "Professional Services", "Accounting", "Telecommunications", "It Services And It Consulting", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano Neo4j, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Neo4j includono EY, Intellibus, Leidos, Equifax, Nexient, PwC, PRICE WATERHOUSE COOPERS, Ciena, itemis AG, Version 1 e molte altre. Puoi trovare un elenco completo di 4,000 aziende che utilizzano Neo4j su TheirStack.com.
Secondo i nostri dati, Neo4j è più popolare in Stati Uniti (1,484 companies), Regno Unito (274 companies), Francia (180 companies), India (156 companies), Germania (134 companies), Spagna (115 companies), Canada (88 companies), Brasile (54 companies), Paesi Bassi (50 companies), Australia (36 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Neo4j 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.