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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
aziende
Abbiamo dati su 19 aziende che usano Graph Engine. La nostra lista di clienti Graph Engine 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 |
---|---|---|---|---|
Etsy | Stati Uniti | Software Development | 9K | $2.6B |
Katana Graph | Stati Uniti | Software Development | 75 | |
![]() TigerGraph | Stati Uniti | Software Development | 230 | $25M |
Adtalem Global Education | Stati Uniti | Education Administration Programs | 5.7K | |
Ubisoft | Francia | Computer Games | 23K | $2.6B |
Amazon Dev Centre Canada ULC | Stati Uniti | Appliances, Electrical, And Electronics Manufacturing | 6K | $50M |
Morgan Stanley | Stati Uniti | Financial Services | 87K | $54B |
Lark Health | Stati Uniti | Software Development | 200 | $39M |
Standard Chartered | Regno Unito | Banking | 85K | $16B |
Leidos | Stati Uniti | It Services And It Consulting | 33K | $14B |
![]() IQVIA | Stati Uniti | Hospitals And Health Care | 79K | $14B |
Energy Jobline | Regno Unito | Staffing And Recruiting | 79 | $5.9M |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
Ci sono 15 alternative a Graph Engine
Graph Engine è utilizzata in 3 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 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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Graph Engine 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 19 aziende che utilizzano Graph Engine.
Graph Engine è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano Graph Engine, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Graph Engine includono Etsy, Katana Graph, TigerGraph, Adtalem Global Education, Ubisoft, Amazon Dev Centre Canada ULC, Morgan Stanley, Lark Health, Standard Chartered, Leidos e molte altre. Puoi trovare un elenco completo di 19 aziende che utilizzano Graph Engine su TheirStack.com.
Secondo i nostri dati, Graph Engine è più popolare in Stati Uniti (11 companies), Regno Unito (2 companies), Francia (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Graph Engine 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.