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It is an enterprise ready Semantic Graph Database, compliant with W3C Standards. Semantic graph databases (also called RDF triplestores) provide the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data publishing and consumption are important.
543
aziende
Abbiamo dati su 543 aziende che usano GraphDb. La nostra lista di clienti GraphDb 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 |
---|---|---|---|---|
Akeero | Irlanda | It Services And It Consulting | 9 | |
Palo Alto Networks | Stati Uniti | Computer And Network Security | 16K | $6.2B |
Fujitsu | Giappone | It Services And It Consulting | 124K | $26B |
Imagine Learning | Stati Uniti | E-Learning Providers | 1.7K | $9.6M |
Procore Technologies | Stati Uniti | Software Development | 4K | $478M |
DataOps.live | Regno Unito | It Services And It Consulting | 49 | |
Telstra | Australia | Telecommunications | 35K | $14B |
Kunai | Stati Uniti | It Services And It Consulting | 210 | |
Join GmbH | Germania | Professional Services | 34 | |
Classmates | Stati Uniti | Software Development | 164 | $4.4M |
MindTickle | Stati Uniti | It Services And It Consulting | 780 | $38M |
Enable | Regno Unito | Civic And Social Organizations | 1K | $18M |
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Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
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GraphDb è utilizzata in 30 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.
Graph databases, often referred to as GraphDB, are a type of database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. These databases are well-suited for scenarios where relationships between data points are as important as the data points themselves, making them ideal for applications requiring complex querying and deep relationship analysis.
GraphDB falls under the category of databases, specifically graph databases. With a focus on relationships and connections between data points, GraphDB allows for efficient and fast traversal of relationships in various industries such as social networks, fraud detection, recommendation engines, and network and IT operations.
GraphDB emerged in the early 2000s with companies like Neo4j pioneering the space. Founded in 2007 by Emil Eifrem, Neo4j was motivated by the need for a tool that could manage connections and relationships more effectively than traditional relational databases. Since then, GraphDB has seen significant growth in adoption across industries due to its ability to handle complex relationships easily.
Currently, GraphDB holds a notable market share within the database category, with a growing trend expected to continue in the future. As more companies recognize the value of leveraging relationships in data for enhanced insights and decision-making, the demand for GraphDB technologies is forecasted to increase. With an expanding ecosystem and continuous advancements in graph database technology, GraphDB is poised to maintain and potentially grow its market share in the coming years.
Graph databases, or GraphDB, have gained significant traction in recent years as companies seek more efficient and flexible ways to manage and analyze complex relationships within their data. By representing data as nodes and edges connected in a graph structure, GraphDB allows for seamless traversal of relationships and provides a deeper level of insight compared to traditional relational databases.
GraphDB excels in representing and navigating intricate relationships between entities, making it ideal for use cases such as social networks, recommendation systems, and fraud detection. Unlike relational databases, where complex joins can lead to inefficient query performance, GraphDB effortlessly handles connections between entities, offering real-time insights into networks of data.
With its optimized graph traversal algorithms, GraphDB delivers superior query performance even when dealing with interconnected data sets. This enables companies to extract valuable insights quickly and efficiently, outperforming other database technologies that struggle to maintain performance when querying complex relationships.
GraphDB's schema-less nature allows for dynamic and agile data modeling, empowering companies to adapt to changing business requirements without the need for costly schema migrations. This flexibility sets GraphDB apart from traditional relational databases, where rigid schema structures can hinder agility and innovation in data management strategies.
GraphDB's distributed architecture enables horizontal scalability, allowing companies to effortlessly scale their database systems to handle growing volumes of interconnected data. Unlike relational databases that often face scalability challenges as data volume increases, GraphDB ensures consistent performance and reliability across large and complex datasets.
In conclusion, the adoption of GraphDB offers companies a powerful tool to efficiently manage and analyze interconnected data, providing unparalleled benefits in relationship mapping, query performance, schema flexibility, and scalability compared to other database technologies.
Introduction:
Graph databases have gained immense popularity due to their ability to efficiently store and query interconnected data. Several renowned companies across various industries leverage GraphDB to extract valuable insights and power their operations. Let's dive into some compelling case studies showcasing how companies utilize GraphDB to enhance their data management and analysis capabilities.
Company X:
Company X, a leading social media platform, utilizes GraphDB to enhance its recommendation algorithms. By leveraging the graph structure, Company X can analyze user interactions and preferences more effectively. They started using GraphDB in 20XX and have since seen a significant improvement in user engagement and satisfaction.
Company Y:
Company Y, a global e-commerce giant, employs GraphDB to optimize its product recommendations and enhance the customer shopping experience. With GraphDB's ability to represent complex relationships between products and customer preferences, Company Y has experienced a surge in sales conversion rates since adopting GraphDB in 20XX.
Company Z:
Company Z, a healthcare technology firm, harnesses the power of GraphDB to streamline patient data management and improve medical research efforts. GraphDB enables Company Z to create a connected view of patient health records, medical histories, and research data, leading to more informed decision-making and enhanced patient care outcomes. They integrated GraphDB into their systems in 20XX and have witnessed a notable enhancement in data accessibility and analysis speed.
These case studies exemplify how diverse companies leverage GraphDB to drive innovation, improve data analysis, and optimize operations in their respective industries.
Puoi accedere a un elenco aggiornato di aziende che utilizzano GraphDb 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 543 aziende che utilizzano GraphDb.
GraphDb è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Computer And Network Security", "It Services And It Consulting", "E-Learning Providers", "Software Development", "It Services And It Consulting", "Telecommunications", "It Services And It Consulting", "Professional Services", "Software Development". Per un elenco completo di tutti i settori che utilizzano GraphDb, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano GraphDb includono Akeero, Palo Alto Networks, Fujitsu, Imagine Learning, Procore Technologies, DataOps.live, Telstra, Kunai, Join GmbH, Classmates e molte altre. Puoi trovare un elenco completo di 543 aziende che utilizzano GraphDb su TheirStack.com.
Secondo i nostri dati, GraphDb è più popolare in Stati Uniti (234 companies), Regno Unito (39 companies), India (22 companies), Francia (18 companies), Germania (14 companies), Canada (12 companies), Australia (7 companies), Paesi Bassi (7 companies), Spagna (6 companies), Irlanda (5 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano GraphDb 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.