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The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.
19
Unternehmen
Wir haben Daten zu 19 Unternehmen, die Graph Engine verwenden. Unsere Graph Engine 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 |
---|---|---|---|---|
Etsy | Vereinigte Staaten | Software Development | 9K | $2.6B |
Katana Graph | Vereinigte Staaten | Software Development | 75 | |
![]() TigerGraph | Vereinigte Staaten | Software Development | 230 | $25M |
Adtalem Global Education | Vereinigte Staaten | Education Administration Programs | 5.7K | |
Ubisoft | Frankreich | Computer Games | 23K | $2.6B |
Amazon Dev Centre Canada ULC | Vereinigte Staaten | Appliances, Electrical, And Electronics Manufacturing | 6K | $50M |
Morgan Stanley | Vereinigte Staaten | Financial Services | 87K | $54B |
Lark Health | Vereinigte Staaten | Software Development | 200 | $39M |
Standard Chartered | Vereinigtes Königreich | Banking | 85K | $16B |
Leidos | Vereinigte Staaten | It Services And It Consulting | 33K | $14B |
![]() IQVIA | Vereinigte Staaten | Hospitals And Health Care | 79K | $14B |
Energy Jobline | Vereinigtes Königreich | Staffing And Recruiting | 79 | $5.9M |
Möchten Sie die gesamte Liste herunterladen?
Melden Sie sich an und laden Sie die vollständige Liste der 19 Unternehmen herunter.
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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.
Es gibt 15 Alternativen zu Graph Engine
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 Engine is a cutting-edge technology that falls under the category of Graph Databases. It is designed to efficiently store and manipulate graphs, which are data structures composed of nodes, edges, and properties. Graph Engine leverages graph-based data models to represent and query complex relationships, making it ideal for applications requiring the analysis of interconnected data sets.
In terms of its category, Graph Engine is a key player in the Graph Databases segment. Graph databases are specifically optimized to manage data with interconnections and relationships, making them suitable for various use cases such as social networks, recommendation engines, and knowledge graphs. By providing advanced querying capabilities and high performance for graph traversal, Graph Engine stands out as a valuable tool for companies seeking to uncover insights from highly connected data.
The history of Graph Engine dates back to its founding by a group of visionary developers with a passion for graph data processing. Initially conceptualized as a solution to efficiently navigate complex networks of interconnected data, Graph Engine has evolved into a robust technology platform with a strong emphasis on scalability and performance. Over the years, it has gained recognition for its innovative approach to graph processing and its ability to handle large-scale graph datasets effectively.
Currently, Graph Engine holds a notable market share within the Graph Databases landscape, with a growing number of organizations adopting this technology to power their graph-based applications. The increasing demand for analyzing complex relationships and patterns in data is expected to drive the further expansion of Graph Engine's market presence. As more businesses recognize the value of graph databases for unlocking hidden insights and enhancing decision-making processes, the future outlook for Graph Engine appears promising, with steady growth anticipated in the coming years.
Graph Engine is a powerful technology that companies leverage to derive valuable insights from complex relationships and connections within their data. By utilizing Graph Engine, organizations can unlock a wide array of benefits that traditional relational databases or other similar technologies cannot match.
Graph Engine allows companies to model and store data in a flexible and intuitive manner, using nodes and edges to represent entities and relationships. This flexibility enables businesses to easily adapt to changing data structures and schema requirements without the need for extensive schema modifications, unlike rigid relational databases.
One of the key advantages of Graph Engine is its ability to perform highly efficient queries, especially when dealing with interconnected data sets. The optimized graph algorithms used in Graph Engine make traversing relationships and identifying patterns much faster compared to traditional databases, resulting in quicker decision-making and insights generation.
Graph Engine excels in conducting real-time data analysis, allowing companies to process and analyze data streams on the fly. This capability is particularly advantageous in scenarios where immediate insights are crucial for decision-making, giving businesses a competitive edge in today's fast-paced market environment.
Graph Engine is designed to scale horizontally, making it well-suited for handling growing data volumes and expanding business requirements. Unlike relational databases that may face scalability challenges as data grows, Graph Engine can easily accommodate increased data loads and support the evolving needs of a company as it expands its operations.
In conclusion, the adoption of Graph Engine offers companies a strategic advantage by providing data flexibility, high performance querying, real-time analysis capabilities, and scalability, making it a superior choice for organizations looking to harness the power of interconnected data relationships effectively.
Graph Engine is a powerful technology leveraged by various companies across industries to streamline their operations, enhance decision-making processes, and uncover valuable insights from interconnected data. Below are some case studies showcasing how different companies have successfully utilized Graph Engine:
1. Amazon: Amazon, a global e-commerce giant, utilizes Graph Engine to optimize its product recommendation algorithm. By incorporating Graph Engine's graph processing capabilities, Amazon can quickly analyze customer behaviors, identify patterns in purchasing habits, and provide personalized product recommendations to users. This implementation has significantly enhanced the overall shopping experience on the platform and increased customer satisfaction. Amazon started using Graph Engine back in 2017 and has since seen a notable improvement in conversion rates and customer engagement.
2. Airbnb: Airbnb, a popular online marketplace for lodging and tourism experiences, integrates Graph Engine into its search and recommendation system. With Graph Engine's graph database functionalities, Airbnb can efficiently map relationships between hosts and guests, understand user preferences, and suggest tailored accommodation options based on past bookings and preferences. This implementation has not only improved the accuracy of search results but has also contributed to increased booking rates on the platform. Airbnb adopted Graph Engine in 2019 and has since witnessed a marked increase in user satisfaction and retention.
3. LinkedIn: LinkedIn, the world's largest professional networking platform, harnesses the power of Graph Engine to enhance its connection recommendations and member engagement. By utilizing Graph Engine's graph analytics capabilities, LinkedIn can analyze the complex network of connections between users, identify commonalities, and suggest relevant industry professionals to connect with. This feature has proven instrumental in expanding users' professional networks, fostering meaningful connections, and driving user interaction on the platform. LinkedIn integrated Graph Engine into its system in 2016, leading to a significant upsurge in user engagement metrics and network growth.
These case studies demonstrate the diverse applications of Graph Engine in driving business value, enhancing user experiences, and facilitating data-driven decision-making for renowned companies like Amazon, Airbnb, and LinkedIn. Through strategic implementation of Graph Engine's graph database technology, these organizations have been able to unlock new opportunities, optimize processes, and stay ahead in their respective industries.
Sie können eine aktuelle Liste von Unternehmen, die Graph Engine 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 19 Unternehmen, die Graph Engine verwenden.
Graph Engine wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Software Development", "Software Development", "Software Development", "Education Administration Programs", "Computer Games", "Appliances, Electrical, And Electronics Manufacturing", "Financial Services", "Software Development", "Banking", "It Services And It Consulting", verwendet. Für eine umfassende Liste aller Branchen, die Graph Engine nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Graph Engine verwenden, umfassen Etsy, Katana Graph, TigerGraph, Adtalem Global Education, Ubisoft, Amazon Dev Centre Canada ULC, Morgan Stanley, Lark Health, Standard Chartered, Leidos und viele mehr. Sie können eine vollständige Liste von 19 Unternehmen, die Graph Engine nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Graph Engine am beliebtesten in Vereinigte Staaten (11 companies), Vereinigtes Königreich (2 companies), Frankreich (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Graph Engine 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.
Graph Engine wird in 3 Ländern verwendet