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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
entreprises
Nous disposons de données sur 19 entreprises qui utilisent Graph Engine. Notre liste de clients Graph Engine 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 |
---|---|---|---|---|
Etsy | États-Unis | Software Development | 9K | $2.6B |
Katana Graph | États-Unis | Software Development | 75 | |
![]() TigerGraph | États-Unis | Software Development | 230 | $25M |
Adtalem Global Education | États-Unis | Education Administration Programs | 5.7K | |
Ubisoft | France | Computer Games | 23K | $2.6B |
Amazon Dev Centre Canada ULC | États-Unis | Appliances, Electrical, And Electronics Manufacturing | 6K | $50M |
Morgan Stanley | États-Unis | Financial Services | 87K | $54B |
Lark Health | États-Unis | Software Development | 200 | $39M |
Standard Chartered | Royaume-Uni | Banking | 85K | $16B |
Leidos | États-Unis | It Services And It Consulting | 33K | $14B |
![]() IQVIA | États-Unis | Hospitals And Health Care | 79K | $14B |
Energy Jobline | Royaume-Uni | Staffing And Recruiting | 79 | $5.9M |
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Inscrivez-vous et téléchargez la liste complète des 19 entreprises.
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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.
Graph Engine est utilisé dans 3 pays
Il y a 15 alternatives à Graph Engine
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.
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.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Graph Engine 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 19 entreprises qui utilisent Graph Engine.
Graph Engine est utilisé par une large gamme d'organisations dans divers secteurs, y compris "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". Pour une liste complète de tous les secteurs utilisant Graph Engine, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Graph Engine incluent Etsy, Katana Graph, TigerGraph, Adtalem Global Education, Ubisoft, Amazon Dev Centre Canada ULC, Morgan Stanley, Lark Health, Standard Chartered, Leidos et bien d'autres encore. Vous pouvez trouver une liste complète des 19 entreprises qui utilisent Graph Engine sur TheirStack.com.
Selon nos données, Graph Engine est le plus populaire dans États-Unis (11 companies), Royaume-Uni (2 companies), France (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Graph Engine 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.