Efficient Data Architecture with GraphQL

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Efficient Data Architecture with GraphQL2020-09-22T10:19:58+01:00

Improve performance and productivity with a GraphQL data architecture

Complex applications need a well defined and highly performant data architecture to deliver accurate results in real-time for the best user experience.

We use GraphQL to unify multiple APIs into one convenient gateway to increase developer productivity and serve only the necessary data to the application reducing resource consumption.

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Why use GraphQL?

GraphQL is a query language that sits on top of multiple APIs and provides a complete description of data requested by an application.

With GraphQL an app can specify the exact data it needs, aggregate the data from multiple sources and microservices, and return only what was asked for resulting in highly performant and robust APIs.

Access complex, hierarchical data structures with one GraphQL query as opposed to RESTful APIs which can require multiple requests and deliver more data than is actually needed.

Initially developed by Facebook GraphQL is now open source and has a vibrant community of developers that is continually creating excellent tooling and documentation.

Highly Performant

Construct specific, hierarchical queries and deliver the results lightning fast

Real-time Validation

Increase developer productivity through real-time validation and type checking

Unified API

Unify multiple microservices and third-party APIs into one GraphQL API gateway

Version Free

Update data structure without affecting existing queries and phase out obsolete  structures over time

GraphQL Data Architecture with NearForm

At NearForm we understand the importance of performance and scalability. Part of the process of product design is analyzing data structure and engineering the best possible solution to deliver the right data efficiently and with as little resource consumption as possible.

GraphQL can be an important part of an application’s overall infrastructure. Along with a great developer experience with instant validation which encourages product growth it introduces unique ways to access data quicker resulting in a better overall UX.

GraphQL is not an out of the box solution that magically transforms an application. It can introduce bottlenecks and performance problems if not implemented correctly. With our extensive experience integrating GraphQL into complex projects we have developed techniques to vastly improve the performance of GraphQL and shared these methods with the open source community.

We understand how to successfully implement GraphQL to provide the best impact, improve developer experience and enhance user experience.

GraphQL data architecture

Architecture Design

Design data architecture from the ground up with GraphQL to meet business and application needs

Support & Training

 Strengthen your team with remote webinars, workshops and/or embedded capability building

Migration

Unify existing APIs into one library with GraphQL to improve efficiency, developer productivity and UX

GraphQL Data Architecture Projects

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Read the story

Epicurious

Rewrote API in GraphQL for a new user-facing system built on Node.js

After extensive consultation and analysis we recommended replacing their existing Ruby on Rails system with a system built on Node.js. We rewrote their API in GraphQL to ensure existing functionality was transferred to the new system. Throughout the project we collaborated with their team on all system changes to identify issues and resolve them quickly. The finished project was delivered with 100% uptime and a week ahead of schedule.

GraphQL data architecture blog posts

Every partnership starts with a conversation.

Consultancy, capability or your next project, we’re happy to chat. Talk to one of our experts.

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