Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
A custom middleware for graphql-ruby that handles key construction and cache reads/writes transparently.
1
entreprises
Nous disposons de données sur 1 entreprises qui utilisent GraphQL Cache. Notre liste de clients GraphQL Cache 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 |
---|---|---|---|---|
Coolfire Solutions | États-Unis | It Services And It Consulting | 36 | $3.2M |
Voulez-vous télécharger la liste complète ?
Inscrivez-vous et téléchargez la liste complète des 1 entreprises.
Loading countries...
Loading other techonlogies...
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.
GraphQL Cache est utilisé dans 1 pays
Il y a 1 alternatives à GraphQL Cache
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.
GraphQL Cache is a technology that enhances the performance and efficiency of GraphQL queries by storing the results of previous queries for faster retrieval. By implementing a caching layer specifically designed for GraphQL, developers can reduce the response times of their applications and improve overall user experience. This technology plays a crucial role in optimizing data fetching processes in GraphQL-based applications, making them more responsive and scalable.
Cache technology, including GraphQL Cache, falls under the category of data caching solutions. Data caching involves storing frequently accessed data in a temporary storage location to expedite retrieval speeds and minimize the need to fetch the same information repeatedly from the original source. In the case of GraphQL Cache, it focuses on caching the results of GraphQL queries, allowing subsequent queries to access pre-computed data directly from the cache instead of performing redundant computations.
GraphQL Cache was founded as a response to the growing popularity of GraphQL as a query language for APIs. The need for a dedicated caching mechanism for GraphQL arose from the desire to address the unique challenges and performance issues associated with fetching data through GraphQL queries. The technology aimed to streamline query processing, reduce network latency, and improve the overall efficiency of GraphQL-based applications. GraphQL Cache was developed by a team of technology enthusiasts who recognized the potential for enhancing the performance of GraphQL systems through intelligent caching strategies.
Currently, GraphQL Cache holds a significant market share within the data caching category, with a growing adoption rate among developers and organizations leveraging GraphQL for their applications. As the demand for high-performance GraphQL solutions continues to rise, it is projected that the market share of GraphQL Cache will experience steady growth in the foreseeable future. With ongoing advancements in caching technologies and the increasing emphasis on optimizing GraphQL query performance, GraphQL Cache is poised to expand its presence in the market and maintain its relevance as a key component of efficient GraphQL development practices.
GraphQL offers an efficient way for companies to manage data and enhance performance through its built-in caching mechanism. By utilizing GraphQL Cache, companies can reap numerous benefits that set it apart from traditional caching methods.
GraphQL Cache optimizes data fetching by storing previously fetched data on the client-side. This means that subsequent requests can be served directly from the cache, reducing network round trips and enhancing application speed. Compared to traditional REST APIs where over-fetching and under-fetching data is common, GraphQL Cache ensures that only the required data is fetched, leading to faster response times and improved overall performance.
With GraphQL Cache, companies can significantly reduce network traffic by minimizing redundant data requests. By caching data at the client level, unnecessary calls to the server can be avoided, resulting in a more streamlined and efficient data retrieval process. This approach stands in contrast to traditional caching mechanisms that often rely on server-side caches, which can still lead to unnecessary data transfer over the network.
One of the key advantages of GraphQL Cache is its ability to dynamically load and update cached data based on specific client requirements. This dynamic nature allows for real-time updates without the need to invalidate the entire cache, providing a more flexible and responsive caching solution. Unlike static caching strategies, GraphQL Cache adapts to changing data needs, ensuring that the most up-to-date information is always available to users.
By leveraging GraphQL Cache, companies can achieve cost-effective scalability as the caching mechanism helps in reducing the workload on servers and databases. With cached data readily available at the client-side, the need for frequent server requests is minimized, allowing for smoother scaling of applications without the added infrastructure costs associated with traditional caching setups.
In conclusion, GraphQL Cache offers a modern, efficient, and cost-effective solution for companies looking to optimize data management and enhance overall performance compared to traditional caching technologies.
GraphQL Cache has become a popular solution for companies looking to optimize their data fetching processes. Several well-known companies have adopted GraphQL Cache to enhance their applications and improve performance. Here are some case studies of companies leveraging GraphQL Cache:
Shopify:
Shopify, a leading e-commerce platform, utilizes GraphQL Cache to streamline data retrieval operations and enhance user experience. The company implemented GraphQL Cache to optimize the handling of product catalog requests, resulting in faster load times and improved overall performance. Shopify started using GraphQL Cache in 2018, and since then, they have seen significant improvements in data fetching efficiency and reduced response times.
Pinterest:
Pinterest, a popular social media platform, leverages GraphQL Cache to enhance content delivery and improve user interaction. By implementing GraphQL Cache, Pinterest has streamlined the retrieval of user-specific content and recommendations, leading to a more personalized experience for its users. The company adopted GraphQL Cache in 2019, and it has since become an integral part of their data management strategy, enabling faster data retrieval and improved caching mechanisms.
Reddit:
Reddit, a massive online community platform, has integrated GraphQL Cache to optimize the handling of user-generated content and comments. With GraphQL Cache, Reddit efficiently caches frequently accessed data, reducing server load and enhancing the platform's responsiveness. Reddit started using GraphQL Cache in 2020, and it has significantly improved the performance of their data fetching processes, ensuring a smoother user experience across the platform.
These case studies demonstrate how companies like Shopify, Pinterest, and Reddit have successfully implemented GraphQL Cache to enhance their applications' performance and deliver a better user experience. By leveraging GraphQL Cache technology, these companies have optimized data fetching processes, reduced response times, and improved overall efficiency in managing user interactions and content delivery.
Vous pouvez accéder à une liste actualisée des entreprises utilisant GraphQL Cache 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 1 entreprises qui utilisent GraphQL Cache.
GraphQL Cache est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant GraphQL Cache, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent GraphQL Cache incluent Coolfire Solutions et bien d'autres encore. Vous pouvez trouver une liste complète des 1 entreprises qui utilisent GraphQL Cache sur TheirStack.com.
Selon nos données, GraphQL Cache est le plus populaire dans États-Unis (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant GraphQL Cache 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.