Learn how Prifina created a high-performance GraphQL Backend as a Service to power application content with Hygraph

Days To Model Content. Not Weeks.
Increase in Content Velocity
Developers Building on Top of Prifina's Core Application

Key Hygraph Features

High-performing GraphQL API, Intuitive UI

When we brought Hygraph to the technical team for their approval, they were excited to work with Hygraph. This made it an easy decision.

Valto LoikkanenCXO

Use Case

Applications & Platforms, Websites


Data Technology

Previous Stack

Greenfield Project


Prifina is a fast-growing Silicon Valley data technology startup that empowers individuals to take control of their data and be the authority of this information. It works in two ways. Firstly, individuals are able to store data in their personal data clouds using automated functionality like software robots and APIs. Individuals then have a single place for all their data.

Secondly, using Prifina, developers can build apps that run on top of user-held data and offer solutions that are directly tailored to users. The data and applications run in the user’s personal data cloud. This means that the users remain in control of their data and processing happens in the cloud itself as opposed to a third-party server.

When Prifina set out to build their application, they wanted a tech stack that would enable them to build a performant web app using a modern tech stack. As Prifina began to evaluate their needs, they knew they wanted to implement a headless CMS to help manage some of their static content. This includes information such as tooltips, terms and conditions, and other information that should be stored in a central content hub, accessible via API.

Prifina Landing Page.png

The ProcessAnchor

The team was looking for a content platform that would help the team build efficient and independent workflows, focusing on performance. Because other elements of the tech stack were based on GraphQL, it was also essential that their content platform have a GraphQL API as well.

Prifina’s team often works asynchronously. Developers needed to be able to set up the content structure and then pass the reins to the content team without a lot of tweaks required. Ensuring the content team has the autonomy to create new content and edit existing content within the application was essential.

We like it from the perspective of the business users. When we brought Hygraph to the technical team for their approval, they were excited to work with Hygraph as well. This made it an easy decision to know we were choosing the best solution for our use case.

Prifina Landing Page 2.png

As the functionality of Prifina becomes more robust, the team hopes to continue to implement Hygraph throughout their product to unify the content layer with an encompassing stack.

Why Hygraph?Anchor

The Priifina team chose Hygraph for the following reasons.

Powerful GraphQL APIsAnchor

Hygraph is GraphQL native, meaning that the logic behind many of the features and functions match expectations for a GraphQL application rather than being a REST-based API with a GraphQL layer on top. This enables the GraphQL ContentAPIs to be highly performant.

Intuitive UIAnchor

The UI of Hygraph is clean and straight-forward without compromising on functionality, making it easy to quickly model data using a no-code schema builder. With the Prifina team often working asynchronously, it was important for the team to be able to work independently of each other efficiently.

Localization out-of-the-boxAnchor

The ability to easily implement localization was critical for the Prifina team. As the audience grows, the team will build out new locales to match the needs of their users, rather than having to make predictions up front.

The Current SetupAnchor

![Prifina Architecture Diagram.png

The broader tech stack of Prifina includes modern technologies such as GraphQL, AWS Serverless, React, Storybook, and Node. In fact, Prifina recommends using Hygraph as a hosted GraphQL backend to approve new apps when third party developers build personal data applications.

Results and BenefitsAnchor

  • High performance GraphQL Content APIs which can be integrated into the core application

  • Sleek UI which has an intuitive structure without compromising on features

  • Scalable software making it a long term solution

  • Native GraphQL application which integrates well with the rest of the tech stack

  • Headless CMS which gives the development and content teams greater autonomy of their work

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