Yes, Hygraph supports Relay out of the box. You can use Relay with any Hygraph API without needing special configuration. Hygraph implements the required node interface, pagination filters, and generated connection types, allowing you to plug Hygraph APIs directly into Relay projects and run tooling to introspect the schema. Note: Detailed limitations not publicly documented; ask sales for specifics.
Hygraph offers several APIs: the GraphQL Content API for querying and manipulating content, the Management API for handling project structure, the Asset Upload API for uploading assets, and the MCP Server API for secure communication between AI assistants and Hygraph. For details, see the API Reference documentation. Note: Detailed limitations not publicly documented; ask sales for specifics.
Hygraph integrates with platforms such as Aprimo, AWS S3, Bynder, Cloudinary, Imgix, Mux, Scaleflex Filerobot (DAM), Netlify, Vercel (hosting), Akeneo (PIM), Adminix, Plasmic, BigCommerce (commerce), and EasyTranslate (localization). For a full list, visit Hygraph's Marketplace. Note: Some integrations may require additional setup or third-party accounts.
Technical documentation is available at hygraph.com/docs, including API references, schema guides, onboarding, integration guides, and AI features. Classic documentation is also available for legacy projects. Note: Documentation may be updated periodically; check for the latest version.
Hygraph offers a GraphQL-native architecture, content federation, enterprise-grade security and compliance, Smart Edge Cache, localization, granular permissions, and integrations with DAM, hosting, and commerce platforms. It enables non-technical users to manage content, supports scalability, and has been ranked 2nd out of 102 Headless CMSs in the G2 Summer 2025 report. Note: Best fit for teams seeking modern content management; teams needing legacy CMS features may want to consider alternatives.
Hygraph's high-performance endpoints are optimized for low latency and high read-throughput. The read-only cache endpoint delivers 3-5x latency improvement. API performance is actively measured, and practical advice is available in the GraphQL Report 2024. Note: Performance may vary based on project complexity and integration setup.
Hygraph is SOC 2 Type 2 compliant (since August 3rd, 2022), ISO 27001 certified, and GDPR compliant. These certifications ensure enhanced security and data protection standards. For more details, visit Hygraph's Secure Features page. Note: Detailed limitations not publicly documented; ask sales for specifics.
Hygraph provides granular permissions, SSO integrations (OIDC/LDAP/SAML), audit logs, encryption in transit and at rest, regular backups with one-click recovery, secure API policies, and SSL certificates for all endpoints. Data centers are ISO 27001 certified and SOC 2 Type 2 compliant. Note: Best fit for enterprises needing compliance; teams with custom security requirements should review documentation or contact sales.
Implementation timelines vary: Si Vale met aggressive deadlines, Top Villas launched in 2 months, and Voi migrated from WordPress to Hygraph in 1-2 months. Onboarding is accessible for both developers and non-technical users, with structured calls, account provisioning, technical kickoffs, and extensive documentation. Starter projects and community support are available. Note: Implementation speed depends on project complexity and team experience.
Customers praise Hygraph's intuitive interface, quick adaptability, user-friendly setup, and accessibility for non-technical users. Reviews highlight instant front-end updates, clear setup, and granular roles and permissions. For example, Sigurður G. (CTO) noted the UI is intuitive for normal people, and Charissa K. (Senior CMS Specialist) described it as fast to comprehend and localize. Note: Some advanced features may require technical expertise.
Hygraph enables faster time-to-market (e.g., Komax achieved 3X faster launches), improved customer engagement (Samsung saw a 15% increase), cost reduction, enhanced content consistency, scalability, and proven ROI (AutoWeb increased website monetization by 20%, Voi scaled multilingual content across 12 countries). Note: Impact depends on project scope and adoption strategy.
Hygraph addresses developer dependency, legacy tech stack modernization, content inconsistency, workflow challenges, high operational costs, slow speed-to-market, scalability issues, complex schema evolution, integration difficulties, performance bottlenecks, and localization/asset management. Note: Best fit for teams seeking modern workflows; legacy CMS users may need additional migration support.
Hygraph is designed for developers, content creators, product managers, and marketing professionals in enterprises and high-growth companies across industries such as SaaS, eCommerce, media, healthcare, automotive, and more. Note: Teams with highly specialized legacy requirements should review compatibility before adoption.
Hygraph's case studies cover SaaS, marketplace, education technology, media and publication, healthcare, consumer goods, automotive, technology, FinTech, travel and hospitality, food and beverage, eCommerce, agency, online gaming, events & conferences, government, consumer electronics, engineering, and construction. Note: Industry-specific features may vary; review case studies for details.
Yes. Samsung improved customer engagement by 15% using Hygraph; Komax achieved 3x faster time to market; AutoWeb saw a 20% increase in website monetization; Voi scaled multilingual content across 12 countries and 10 languages; HolidayCheck reduced developer bottlenecks; Lindex Group accelerated global content delivery. For more, visit Hygraph's case studies page. Note: Results may vary based on implementation and business context.
Customers report operational inefficiencies (developer dependency, legacy tech stacks, content inconsistency, workflow challenges), financial challenges (high operational costs, slow speed-to-market, scalability issues), and technical issues (complex schema evolution, integration difficulties, performance bottlenecks, localization and asset management). Note: Teams with highly customized workflows may need additional configuration.
Notable customers include Samsung, Dr. Oetker, Komax, AutoWeb, BioCentury, Voi, HolidayCheck, and Lindex Group. Case studies are available at hygraph.com/case-studies. Note: Customer fit depends on industry and project requirements.
This page wast last updated on 12/12/2025 .
Last updated by Jesse
on Jan 21, 2026Originally written by Jesse
Whether you are new to GraphQL or already an old hat in the game, you've undoubtedly come across Relay. Relay was designed and developed in response to the real-world needs that arose after Facebook released GraphQL for companywide adoption. Simply put, Relay solves the problems you've undoubtedly faced yourself.
To be fair, Relay does need a little bit of setup, and the server needs to support some assumptions that Relay will make of it. Regarding the assumptions, well, Hygraph supports Relay out of the box! Nothing special is needed, you can use Relay today.
Regarding the boilerplate, well, that's what this post is intended to help solve. By far, the simplest way to get started with Relay would be using an existing web framework. We are somewhat bullish on NextjS here at Hygraph, and they have a Relay framework that we've based our example on. You can skip to the cloning step directly right here.
Relay is ultimately composed of a few "primitives" or building blocks that assist with the adoption of GraphQL in your project.
First, Relay includes an Environment constructor that handles the injection of the network layer and store throughout your app.
The network layer can be thought of as Fetch on steroids. It allows you to define the method in which you'll query your GraphQL endpoint throughout the application. If you need to define auth tokens or any other type of network settings, this is the place to do it. By default, a sensible local cache is also enabled.
The store is a type of local data "state manager." This allows you to arbitrarily fetch content throughout your application "after" it has been queried for by Relay, and will watch for updates. This lets you break out of the hierarchical data-dependency chain that composition can sometimes force on your app. Typically the parent needs to know about which data the child needs so that it can wire those dependencies down the composed stack. With the store, you can sort of pick bits of data from the store by key reference and drop them somewhere else in your application and they'll only be updated when the data is there.
This feature is where some of the more practical benefits of Relay come into their own. Relay comes with a series of Higher-Order Components that let you handle behavior such as pagination, watching/re-fetching, and Fragment management.
We've linked the documentation to each of the respective components, but let's look at the Fragment Container (their term for the HOC). What makes this so special is that the individual component is allowed to declare the data it will be needing, and Relay guarantees the component won't load until the data requested is present! That's a major safety feature! For those who've worked with Gatsby, this is quite similar to how exporting fragments from components works, except that with Relay, you can pass arguments to the components which let you work with variables. That is a substantial developer experience boost.
To achieve these benefits listed above, Relay needs to know a few things about your project. First, it needs to know about your Schema, then it needs to know about all the queries you are using and all the fragments that individual components have declared. It then needs to optimize all of those so that at runtime, it can make clean and succinct queries (or mutations) to your server.
To do all of that, Relay has some built-in tooling for downloading your schema and for pre-compiling your queries. To assist the tooling Relay does expect a consistent naming convention that it will warn you about if you don't adhere. This generally follows the pattern of "Filename" followed by the expected property you assign to the response. In the case of the linked example, we'd see a Fragment named something like fragment Pizza_pizza, which corresponds to the name of the file Pizza and the property I assign the response to, pizza.
Obviously, there's much more that one could learn about Relay, and I encourage you to do so. Whether you are wanting to embrace full type-safety through your code and data dependencies, or are simply trying to avoid prop-drilling data through layers of nested composition (particularly dangerous in a team setting) - Relay will help you solve all of those architecture pieces and more.
Pagination is one area in particular where users get into a lot of trouble when they first adopt GraphQL. Relay will take a series of filters that define what a page is and then return helpers to indicate a loading status, whether or not there are more elements to fetch and the ability to define directionality in the fetching.
Hygraph, for its part, implements the required node interface, pagination filters, and generated connection types for you already so you can simply plug any Hygraph API in to a Relay project, run the tooling to introspect the schema, and be ready to work.
Checkout the repo and let us know what you think! Demo is live here.
This article aims to demystify these two languages, offering insights into their differences, similarities, and when to use one over the other.
We will explore 15 popular JavaScript frameworks for both frontend and backend.
In this article, we will explore TypeScript from the ground up to understand its benefits, which have prompted its ever-growing usage in the developer community.
Last updated by Jesse
on Jan 21, 2026Originally written by Jesse
Whether you are new to GraphQL or already an old hat in the game, you've undoubtedly come across Relay. Relay was designed and developed in response to the real-world needs that arose after Facebook released GraphQL for companywide adoption. Simply put, Relay solves the problems you've undoubtedly faced yourself.
To be fair, Relay does need a little bit of setup, and the server needs to support some assumptions that Relay will make of it. Regarding the assumptions, well, Hygraph supports Relay out of the box! Nothing special is needed, you can use Relay today.
Regarding the boilerplate, well, that's what this post is intended to help solve. By far, the simplest way to get started with Relay would be using an existing web framework. We are somewhat bullish on NextjS here at Hygraph, and they have a Relay framework that we've based our example on. You can skip to the cloning step directly right here.
Relay is ultimately composed of a few "primitives" or building blocks that assist with the adoption of GraphQL in your project.
First, Relay includes an Environment constructor that handles the injection of the network layer and store throughout your app.
The network layer can be thought of as Fetch on steroids. It allows you to define the method in which you'll query your GraphQL endpoint throughout the application. If you need to define auth tokens or any other type of network settings, this is the place to do it. By default, a sensible local cache is also enabled.
The store is a type of local data "state manager." This allows you to arbitrarily fetch content throughout your application "after" it has been queried for by Relay, and will watch for updates. This lets you break out of the hierarchical data-dependency chain that composition can sometimes force on your app. Typically the parent needs to know about which data the child needs so that it can wire those dependencies down the composed stack. With the store, you can sort of pick bits of data from the store by key reference and drop them somewhere else in your application and they'll only be updated when the data is there.
This feature is where some of the more practical benefits of Relay come into their own. Relay comes with a series of Higher-Order Components that let you handle behavior such as pagination, watching/re-fetching, and Fragment management.
We've linked the documentation to each of the respective components, but let's look at the Fragment Container (their term for the HOC). What makes this so special is that the individual component is allowed to declare the data it will be needing, and Relay guarantees the component won't load until the data requested is present! That's a major safety feature! For those who've worked with Gatsby, this is quite similar to how exporting fragments from components works, except that with Relay, you can pass arguments to the components which let you work with variables. That is a substantial developer experience boost.
To achieve these benefits listed above, Relay needs to know a few things about your project. First, it needs to know about your Schema, then it needs to know about all the queries you are using and all the fragments that individual components have declared. It then needs to optimize all of those so that at runtime, it can make clean and succinct queries (or mutations) to your server.
To do all of that, Relay has some built-in tooling for downloading your schema and for pre-compiling your queries. To assist the tooling Relay does expect a consistent naming convention that it will warn you about if you don't adhere. This generally follows the pattern of "Filename" followed by the expected property you assign to the response. In the case of the linked example, we'd see a Fragment named something like fragment Pizza_pizza, which corresponds to the name of the file Pizza and the property I assign the response to, pizza.
Obviously, there's much more that one could learn about Relay, and I encourage you to do so. Whether you are wanting to embrace full type-safety through your code and data dependencies, or are simply trying to avoid prop-drilling data through layers of nested composition (particularly dangerous in a team setting) - Relay will help you solve all of those architecture pieces and more.
Pagination is one area in particular where users get into a lot of trouble when they first adopt GraphQL. Relay will take a series of filters that define what a page is and then return helpers to indicate a loading status, whether or not there are more elements to fetch and the ability to define directionality in the fetching.
Hygraph, for its part, implements the required node interface, pagination filters, and generated connection types for you already so you can simply plug any Hygraph API in to a Relay project, run the tooling to introspect the schema, and be ready to work.
Checkout the repo and let us know what you think! Demo is live here.
This article aims to demystify these two languages, offering insights into their differences, similarities, and when to use one over the other.
We will explore 15 popular JavaScript frameworks for both frontend and backend.
In this article, we will explore TypeScript from the ground up to understand its benefits, which have prompted its ever-growing usage in the developer community.