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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
Unternehmen
Wir haben Daten zu 543 Unternehmen, die GraphDb verwenden. Unsere GraphDb Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Akeero | Irland | It Services And It Consulting | 9 | |
Palo Alto Networks | Vereinigte Staaten | Computer And Network Security | 16K | $6.2B |
Fujitsu | Japan | It Services And It Consulting | 124K | $26B |
Imagine Learning | Vereinigte Staaten | E-Learning Providers | 1.7K | $9.6M |
Procore Technologies | Vereinigte Staaten | Software Development | 4K | $478M |
DataOps.live | Vereinigtes Königreich | It Services And It Consulting | 49 | |
Telstra | Australien | Telecommunications | 35K | $14B |
Kunai | Vereinigte Staaten | It Services And It Consulting | 210 | |
Join GmbH | Deutschland | Professional Services | 34 | |
Classmates | Vereinigte Staaten | Software Development | 164 | $4.4M |
![]() MindTickle | Vereinigte Staaten | It Services And It Consulting | 780 | $38M |
![]() Enable | Vereinigtes Königreich | Civic And Social Organizations | 1K | $18M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
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GraphDb wird in 30 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
Sie können eine aktuelle Liste von Unternehmen, die GraphDb verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 543 Unternehmen, die GraphDb verwenden.
GraphDb wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die GraphDb nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die GraphDb verwenden, umfassen Akeero, Palo Alto Networks, Fujitsu, Imagine Learning, Procore Technologies, DataOps.live, Telstra, Kunai, Join GmbH, Classmates und viele mehr. Sie können eine vollständige Liste von 543 Unternehmen, die GraphDb nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist GraphDb am beliebtesten in Vereinigte Staaten (234 companies), Vereinigtes Königreich (39 companies), Indien (22 companies), Frankreich (18 companies), Deutschland (14 companies), Kanada (12 companies), Australien (7 companies), Niederlande (7 companies), Spanien (6 companies), Irland (5 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die GraphDb verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.