It is a distributed graph database that is optimized for enterprise applications–Zero downtime, fast traversals at scale, and analysis of complex, related datasets in real time.
11
aziende
Abbiamo dati su 11 aziende che usano DSE Graph. La nostra lista di clienti DSE Graph 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 |
---|---|---|---|---|
Knoldus | Canada | It Services And It Consulting | 300 | $8.5M |
Melon | Turchia | Business Consulting And Services | 240 | $15M |
NucleusTeq | Stati Uniti | It Services And It Consulting | 201 | $15M |
Macquarie Group | Australia | Financial Services | 22K | $4.4B |
THEMESOFT | Stati Uniti | Software Development | 120 | $20M |
Dice | Stati Uniti | Software Development | 736 | $12M |
Comcast | Stati Uniti | Telecommunications | 59K | $80B |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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DSE Graph è utilizzata in 4 paesi
Ci sono 15 alternative a DSE Graph
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DSE Graph is a powerful graph database technology that allows users to efficiently store, manage, and query interconnected data. Unlike traditional relational databases, DSE Graph is designed specifically to handle complex relationships and connections between data points, making it ideal for applications that require navigating large networks of information. By utilizing graph structures such as nodes, edges, and properties, DSE Graph enables users to represent and analyze data in a way that closely mirrors real-world relationships.
Graph databases fall under the category of NoSQL databases, which are a modern alternative to traditional SQL databases. DSE Graph, in particular, falls within the subcategory of graph databases, focusing on efficiently storing and querying graph-based data models. This technology is especially suited for use cases like social networks, recommendation systems, fraud detection, and network analysis, where relationships between data are of paramount importance.
DSE Graph was founded by DataStax, a leading company in the field of distributed database management systems. The motivation behind the development of DSE Graph was to provide a scalable and high-performance solution for handling graph data within the broader ecosystem of DataStax Enterprise. The technology was introduced to the market to address the growing demand for graph databases in industries such as finance, e-commerce, and social media.
Currently, DSE Graph holds a notable market share within the graph database category, thanks to its robust feature set and the backing of DataStax's established reputation in the database industry. With the increasing adoption of graph databases in various sectors, the market share of DSE Graph is expected to grow in the coming years as more organizations recognize the benefits of leveraging graph data structures for their data management needs.
DSE Graph, a graph database technology, is widely adopted by companies seeking to effectively manage and analyze interconnected data relationships. Its innovative approach to handling complex and interconnected data sets sets it apart from traditional relational databases. Companies use DSE Graph for various reasons, including its flexibility, scalability, and performance benefits.
DSE Graph excels in managing data relationships by enabling the representation of complex connections between various data points. Unlike relational databases, which struggle with relationships spanning multiple tables, DSE Graph simplifies and accelerates data traversal through its optimized graph data structure.
DSE Graph offers superior query performance, especially when dealing with heavily interconnected data sets. Its graph traversal capabilities allow for efficient and lightning-fast queries that would typically be cumbersome and slow to execute in relational databases. Companies benefit from quicker insights and more responsive applications.
DSE Graph provides companies with the scalability and flexibility needed to handle growing data volumes and evolving business requirements. Its distributed architecture enables seamless scaling across multiple nodes, supporting business growth without sacrificing performance. Additionally, DSE Graph's schema-less nature allows for agile data modeling, adaptability to changing data structures, and faster development cycles.
In summary, companies choose DSE Graph for its unparalleled ability to manage data relationships, deliver superior query performance, and provide scalability and flexibility not easily achievable with traditional relational databases.
Some notable companies that utilize DataStax Enterprise (DSE) Graph for their data needs include LinkedIn, eBay, and Target. Below are brief summaries of case studies showcasing how these companies leverage DSE Graph in their operations:
LinkedIn:
LinkedIn uses DSE Graph to enhance its network and relationship recommendations feature. By leveraging the graph technology, LinkedIn can analyze the complex relationships between its users, such as connections, shared interests, and group memberships, to offer more precise and relevant suggestions. The company started using DSE Graph in 2017 and has since seen a significant improvement in user engagement and connectivity on the platform.
eBay:
eBay utilizes DSE Graph to optimize its product recommendation engine. With DSE Graph's capabilities, eBay can map out intricate relationships between products, user preferences, and purchase histories to deliver personalized and tailored recommendations to its customers. Since integrating DSE Graph into its system in 2016, eBay has witnessed a notable increase in user satisfaction and conversion rates.
Target:
Target employs DSE Graph to streamline its supply chain management processes. By leveraging the graph technology, Target can establish connections between various data points, such as inventory levels, vendor information, and demand forecasting, to optimize its logistics and inventory management operations. Target started utilizing DSE Graph in 2018 and has since experienced improvements in inventory accuracy and operational efficiency.
These case studies highlight how leading companies across different industries leverage DSE Graph to drive innovation, enhance user experience, and improve operational efficiency. By harnessing the power of graph databases, organizations can unlock valuable insights from their data and make informed business decisions.
Puoi accedere a un elenco aggiornato di aziende che utilizzano DSE Graph 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 11 aziende che utilizzano DSE Graph.
DSE Graph è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Business Consulting And Services", "It Services And It Consulting", "Financial Services", "Software Development", "Software Development", "Telecommunications". Per un elenco completo di tutti i settori che utilizzano DSE Graph, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano DSE Graph includono Knoldus, Melon, NucleusTeq, Macquarie Group, THEMESOFT, Dice, Comcast e molte altre. Puoi trovare un elenco completo di 11 aziende che utilizzano DSE Graph su TheirStack.com.
Secondo i nostri dati, DSE Graph è più popolare in Stati Uniti (4 companies), Australia (1 companies), Canada (1 companies), Turchia (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano DSE Graph 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.