What is Hygraph and how does it help organizations like Statistics Finland?
Hygraph is a GraphQL-native Headless CMS designed to manage structured content and metadata at scale. Statistics Finland uses Hygraph to manage government data, onboard 250 users in parallel, and control publishing workflows with granular permissions. The platform enables flexible, API-first, frontend-agnostic architectures, allowing teams to build omni-channel solutions and future-proof their tech stack. Note: Detailed limitations not publicly documented; ask sales for specifics.
How does Hygraph support structured content and metadata management?
Hygraph enables organizations to model content in graphs, eliminating built-in hierarchies and making content reusable across platforms. Statistics Finland manages statistical data, dynamic and static graphs, tables, and key figures using Hygraph's schema editor and GraphQL API. This approach allows for flexible content modeling and visualization of relationships between models. Note: Best fit for teams needing modular content; organizations requiring rigid hierarchical structures may want to consider alternatives.
Security, Compliance & Governance
What security and compliance standards does Hygraph meet?
Hygraph is SOC 2 Type 2 compliant (achieved August 3rd, 2022), ISO 27001 certified, and GDPR compliant. These certifications ensure enhanced security and data governance, making Hygraph suitable for government and enterprise use. Statistics Finland required 100% compliance on security and governance, which Hygraph provided. Note: For organizations with additional compliance needs, consult Hygraph's Secure Features page for specifics.
How does Hygraph handle granular permissions and user roles?
Hygraph offers custom granular permissions, allowing organizations to create highly specialized roles for users. Statistics Finland implemented 45 different permission settings to ensure that team members had no access to content from other users, protecting data integrity. Note: Teams with highly dynamic permission requirements should review Hygraph's documentation for edge cases.
Technical Features & Integrations
What APIs and integration capabilities does Hygraph provide?
Hygraph offers multiple APIs, including a high-performance GraphQL Content API, Management API, Asset Upload API, and MCP Server API for AI assistant integration. Statistics Finland uses GraphQL Mutations and Webhooks to automate workflows such as SERP indexing, archiving, RSS feeds, and user alerts. Hygraph integrates with platforms like Microsoft Azure, DAM systems (Aprimo, AWS S3, Bynder, Cloudinary, Imgix, Mux, Scaleflex Filerobot), hosting providers (Netlify, Vercel), and commerce solutions (BigCommerce). Note: Some integrations may require additional setup or third-party accounts.
How does Hygraph enable API-first and frontend-agnostic architectures?
Hygraph is built as an API-first GraphQL Headless CMS, allowing content to be served via APIs with no restrictions on frontend, tooling, or platform. This enables organizations like Statistics Finland to build projects that are not tied to specific frameworks, making it easier to update frontend presentation layers while maintaining backend data. Note: Teams requiring tightly coupled frontend-backend solutions may need to evaluate fit.
Implementation & Onboarding
How quickly can Hygraph be implemented and onboarded for large teams?
Hygraph can be implemented rapidly, even for complex projects. Statistics Finland onboarded 250 users in parallel, meeting aggressive timelines. Other case studies show launches within 1-2 months (e.g., Voi migrated from WordPress in 1-2 months, Top Villas launched in 2 months). Note: Implementation speed may vary based on project complexity and integration requirements.
Performance & Reliability
What performance improvements does Hygraph offer for content delivery?
Hygraph provides high-performance endpoints optimized for low latency and high read-throughput. A read-only cache endpoint delivers 3-5x latency improvement, ensuring faster content delivery. The platform actively measures GraphQL API performance and offers practical advice for optimization. Note: Performance may depend on integration and network setup; review technical documentation for specifics.
Pain Points & Solutions
What common pain points does Hygraph address for organizations managing large-scale content?
Hygraph addresses operational inefficiencies (reducing developer dependency, modernizing legacy tech stacks), content inconsistency (via content federation), workflow challenges (streamlined collaboration), high operational costs, slow speed-to-market, scalability issues, complex schema evolution, integration difficulties, performance bottlenecks, and localization/asset management. Note: Teams with highly specialized legacy systems may require additional migration planning.
Customer Success & Industry Fit
What are some real-world examples of organizations using Hygraph successfully?
Statistics Finland manages government data with 250 users and 45 permission settings, achieving 100% compliance. Other customers include Samsung (15% improved customer engagement), Komax (3x faster time-to-market), AutoWeb (20% increase in website monetization), Voi (scaled multilingual content across 12 countries), and Dr. Oetker (enhanced digital experience). For more, see Hygraph's case studies page. Note: Results may vary based on use case and implementation.
Which industries are represented in Hygraph's case studies?
Hygraph's case studies span 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 require custom configuration.
Documentation & Support
What technical documentation and support resources are available for Hygraph?
Hygraph provides extensive technical documentation, including API reference, schema components, integration guides, onboarding resources, and AI feature documentation. Support includes structured onboarding, webinars, live streams, and community Slack. For details, visit Hygraph Documentation. Note: Some advanced features may require direct support or consultation.
Statistics Finland manages government data simultaneously with 250 users
45
Different permission settings
100%
Compliant on security and governance
250
Users onboarded in parallel
Snapshot
Statistics Finland is the national statistics arm of the Finish government providing its users with the most current information on populations, housing prices, and important monetary indicators. Statistics Finland strives to provide data rich information for national studies and data collection. In order to expedite workflows and upgrade their approach to metadata management to make it more reusable using structured content, the team set out to evaluate their systems. The team had an aggressive timeline to overhaul the entire publication workflow within 3 years until the launch, Statistics Finland chose Hygraph to meet this challenge and serve as the content platform.
Hygraph contains all the metadata and relations of the content. Publishing is controlled within the CMS and synchronized with our other systems, and then accessed through microservices in Azure.
Juhani KauppoProject Manager at Statistics Finland
The Problem
Previously, Statistics Finland had a robust system of publishing solutions that were custom and overlapping solutions and reaching the end of their lifetimes. A key requirement was that the new solution would offer a simple approach to multichannel publishing as well as more support for organizing and querying structured content. The team wanted to bring more transparency to their processes and provide more control of the publishing processes to the content team. Instead of trying to retrofit the existing systems to meet their updated needs, Statistics Finland chose to replatform their system into a portal using Hygraph.
The Process
The Statistics Finland team wanted to ensure that they built a flexible, future proof tech stack. By choosing to build their architecture with SaaS products, Statistics Finland could offload the infrastructure maintenance to the SaaS companies. The team wanted to take advantage of the current best practices when building digital products with SaaS. These best practices included implementing API-first thinking, building a backend that was frontend agnostic, and modeling structured content in graphs.
The API-first thinking empowered the teams to build projects without the restrictions of templates and enabled them to create omni-channel solutions from the beginnings of their project. Building a project that is not tied to specific framework or development flows enables them to choose the solutions that best fit their needs and use case. Building a project that is frontend agnostic helps ensure that the project remains future proof. Adding or updating frontend presentation layers to match the current trends while maintaining an existing backend data set is faster and saves resources.
Statistics Finland wanted to build their project with structured content that enabled greater flexibility. In modeling the content in graphs, they could ensure there were no built in hierarchies and that content was more reusable across the project.
After evaluating several vendors on these criteria, Hygraph quickly emerged as their CMS of choice given their requirements. Hygraph was up to the challenge of onboarding 250+ users to work in parallel with highly optimized workflows was an added advantage for the team.
The Current Setup
The larger architecture consists of a mix of internal systems, cloud providers, and other software interacting with Hygraph. The CMS houses all of their metadata and relationships and is used for managing and creating content, mainly statistical in nature. This content is accessed by microservices hosted on Microsoft Azure, and is supplemented by website specific caching for content coming in from other third-party systems.
This new stack means that the team no longer needs to maintain workflows with older XML-editor types of tooling, a critical component of the older architecture. Building new workflows with automation that take content from the CMS and easily distribute it across multiple channels. Additionally, they use GraphQL Mutations and Webhooks to trigger SERP indexing, archiving, RSS Feeds, and user alerts when new content is published.
The content from Statistics Finland is largely statistical in nature, so much of the content is around the creation of dynamic graphs and tables, static graphs and tables, and publishing of key figures. This is managed via Hygraph and further enriched by editorial content for the pages that house this data.
Why Hygraph?
Statistics Finland chose Hygraph for the following reasons:
Security and Governance
Being a government institution handling sensitive data, security and data governance were key considerations when choosing their CMS. It was critical that the chosen solution was GDPR-compliant and had stringent data policies in place to ensure the integrity of the data was maintained. Hygraph met these standards and has strict policies in place for criteria like data retention, data protection, and encryption, providing a content infrastructure robust enough for government usage.
Granular Permissions
Ensuring that team members had no access to content from other users was a critical consideration when evaluating CMS. Statistics Finland needed to create highly specialized roles within the CMS in order to ensure that the interactions with data were limited within the CMS. The custom permissions that Hygraph offers enabled Statistics Finland to create specific roles for all users. With this feature, Statistics Finland ensured that no information was incorrectly accessed or modified to hamper the integrity of any data.
API-First and Frontend Agnostic
The team wanted to build a stack that was flexible and future proof by relying on technologies that were API-first and Frontend Agnostic. Hygraph is an API-first GraphQL Headless CMS that meets these standards and follows the best practices of these trends. It was essential that all content was served via API, with no restrictions on frontend, tooling, or platform. Working with a content API that gave them a predictable dataset to render across platforms, as well as have the option to change this destination-mix in the future without having to re-platform their CMS met the requirements set out by Statistics Finland.
Structured Content
Structured content offers the ability to create content that is reusable across platforms, even when working with large volumes of statistical data. Data types include field operations, surveys, censuses, etc., all of which were easy to manage with Hygraph. It is an excellent choice for structured content because of its flexibility, powerful GraphQL API, and sleek UI. Using the schema editor teams can easily build highly modular content and visualize the relationships between the models due to the clean UI which matches powerful flexibility with a straightforward API.
Results
Hygraph offered custom granular permissions which protect the integrity of the data and enable users to have exactly the right amount of power within the CMS
Content Modeling within Hygraph is easy to create reusable structured content which can be pushed to multiple platforms
API-first architectures ensure that the team is flexible as their needs grow and change without requiring a large data migration on the backend
250 users were simultaneously onboarded to Hygraph with ease
Hygraph works well within a larger ecosystem of microservices to create a seamless stream of data which can be pushed to multiple channels
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Statistics Finland manages government data simultaneously with 250 users
45
Different permission settings
100%
Compliant on security and governance
250
Users onboarded in parallel
Snapshot
Statistics Finland is the national statistics arm of the Finish government providing its users with the most current information on populations, housing prices, and important monetary indicators. Statistics Finland strives to provide data rich information for national studies and data collection. In order to expedite workflows and upgrade their approach to metadata management to make it more reusable using structured content, the team set out to evaluate their systems. The team had an aggressive timeline to overhaul the entire publication workflow within 3 years until the launch, Statistics Finland chose Hygraph to meet this challenge and serve as the content platform.
Hygraph contains all the metadata and relations of the content. Publishing is controlled within the CMS and synchronized with our other systems, and then accessed through microservices in Azure.
Juhani KauppoProject Manager at Statistics Finland
The Problem
Previously, Statistics Finland had a robust system of publishing solutions that were custom and overlapping solutions and reaching the end of their lifetimes. A key requirement was that the new solution would offer a simple approach to multichannel publishing as well as more support for organizing and querying structured content. The team wanted to bring more transparency to their processes and provide more control of the publishing processes to the content team. Instead of trying to retrofit the existing systems to meet their updated needs, Statistics Finland chose to replatform their system into a portal using Hygraph.
The Process
The Statistics Finland team wanted to ensure that they built a flexible, future proof tech stack. By choosing to build their architecture with SaaS products, Statistics Finland could offload the infrastructure maintenance to the SaaS companies. The team wanted to take advantage of the current best practices when building digital products with SaaS. These best practices included implementing API-first thinking, building a backend that was frontend agnostic, and modeling structured content in graphs.
The API-first thinking empowered the teams to build projects without the restrictions of templates and enabled them to create omni-channel solutions from the beginnings of their project. Building a project that is not tied to specific framework or development flows enables them to choose the solutions that best fit their needs and use case. Building a project that is frontend agnostic helps ensure that the project remains future proof. Adding or updating frontend presentation layers to match the current trends while maintaining an existing backend data set is faster and saves resources.
Statistics Finland wanted to build their project with structured content that enabled greater flexibility. In modeling the content in graphs, they could ensure there were no built in hierarchies and that content was more reusable across the project.
After evaluating several vendors on these criteria, Hygraph quickly emerged as their CMS of choice given their requirements. Hygraph was up to the challenge of onboarding 250+ users to work in parallel with highly optimized workflows was an added advantage for the team.
The Current Setup
The larger architecture consists of a mix of internal systems, cloud providers, and other software interacting with Hygraph. The CMS houses all of their metadata and relationships and is used for managing and creating content, mainly statistical in nature. This content is accessed by microservices hosted on Microsoft Azure, and is supplemented by website specific caching for content coming in from other third-party systems.
This new stack means that the team no longer needs to maintain workflows with older XML-editor types of tooling, a critical component of the older architecture. Building new workflows with automation that take content from the CMS and easily distribute it across multiple channels. Additionally, they use GraphQL Mutations and Webhooks to trigger SERP indexing, archiving, RSS Feeds, and user alerts when new content is published.
The content from Statistics Finland is largely statistical in nature, so much of the content is around the creation of dynamic graphs and tables, static graphs and tables, and publishing of key figures. This is managed via Hygraph and further enriched by editorial content for the pages that house this data.
Why Hygraph?
Statistics Finland chose Hygraph for the following reasons:
Security and Governance
Being a government institution handling sensitive data, security and data governance were key considerations when choosing their CMS. It was critical that the chosen solution was GDPR-compliant and had stringent data policies in place to ensure the integrity of the data was maintained. Hygraph met these standards and has strict policies in place for criteria like data retention, data protection, and encryption, providing a content infrastructure robust enough for government usage.
Granular Permissions
Ensuring that team members had no access to content from other users was a critical consideration when evaluating CMS. Statistics Finland needed to create highly specialized roles within the CMS in order to ensure that the interactions with data were limited within the CMS. The custom permissions that Hygraph offers enabled Statistics Finland to create specific roles for all users. With this feature, Statistics Finland ensured that no information was incorrectly accessed or modified to hamper the integrity of any data.
API-First and Frontend Agnostic
The team wanted to build a stack that was flexible and future proof by relying on technologies that were API-first and Frontend Agnostic. Hygraph is an API-first GraphQL Headless CMS that meets these standards and follows the best practices of these trends. It was essential that all content was served via API, with no restrictions on frontend, tooling, or platform. Working with a content API that gave them a predictable dataset to render across platforms, as well as have the option to change this destination-mix in the future without having to re-platform their CMS met the requirements set out by Statistics Finland.
Structured Content
Structured content offers the ability to create content that is reusable across platforms, even when working with large volumes of statistical data. Data types include field operations, surveys, censuses, etc., all of which were easy to manage with Hygraph. It is an excellent choice for structured content because of its flexibility, powerful GraphQL API, and sleek UI. Using the schema editor teams can easily build highly modular content and visualize the relationships between the models due to the clean UI which matches powerful flexibility with a straightforward API.
Results
Hygraph offered custom granular permissions which protect the integrity of the data and enable users to have exactly the right amount of power within the CMS
Content Modeling within Hygraph is easy to create reusable structured content which can be pushed to multiple platforms
API-first architectures ensure that the team is flexible as their needs grow and change without requiring a large data migration on the backend
250 users were simultaneously onboarded to Hygraph with ease
Hygraph works well within a larger ecosystem of microservices to create a seamless stream of data which can be pushed to multiple channels
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Be the first to know about releases and industry news and insights.