GraphQL Service

As businesses increasingly rely on data-driven applications, the need for efficient and flexible APIs has never been greater to share information and business services. That’s where GraphQL comes in.

Is GraphQL for you?

As businesses increasingly rely on data-driven applications, the need for efficient and flexible APIs has never been greater to share information and business services. That’s where GraphQL comes in.

GraphQL is a modern open-source API query language that allows clients to request exactly the data they need — no more, no less. It flips the traditional REST model on its head by giving power to the consumer, enabling faster, more flexible, and more efficient data retrieval.

Whether you’re building customer-facing portals, mobile apps, or complex digital platforms, GraphQL provides a single, unified entry point to your data — streamlining the way your systems communicate.

What Are GraphQL's Capabilities?

GraphQL’s strengths lie in its precision, adaptability, and developer-friendly architecture. Key capabilities include:

  • Flexible Queries: Clients can request exactly what they need, reducing over-fetching and under-fetching of data.
  • Single Endpoint: Unlike REST, GraphQL uses a single endpoint, simplifying integration and versioning.
  • Strongly Typed Schema: The schema defines all possible queries and types, ensuring consistency and reliability.
  • Real-Time Data with Subscriptions: Enables reactive data flows through WebSockets — ideal for real-time features like notifications or live updates.
  • Introspective & Self-Documenting: Built-in tooling makes GraphQL APIs easy to explore, test, and maintain.

It’s an ideal solution for organisations aiming to modernise their APIs and improve performance across digital touchpoints.

What are the benefits of using GraphQL?

GraphQL bridges the gap between data complexity and user experience — making it an ideal foundation for scalable, flexible, future-ready digital platforms.

Performance & Efficiency

  • Fetch exactly what you need – no more, no less. Avoid over-fetching or under-fetching data, improving both backend performance and frontend responsiveness.
  • Single API call – retrieve multiple resources in one go, even across deeply nested relationships. Perfect for complex systems and microservices.

Developer Productivity

  • Tailored requests – front-end teams define the structure of the response, speeding up development and iteration cycles.
  • Strong typing & introspection – GraphQL schemas serve as live documentation and validation tools, keeping everyone on the same page.
  • Code reuse & sharing – standardised query patterns mean less duplication and cleaner, more maintainable code.

Scalability & Future-Proofing

  • API evolution without versioning – new fields and types can be added without breaking existing queries.
  • Schema-first design – ensures a consistent, governed approach to exposing services, even when your backend is stitched together from multiple sources.
How GraphQL Transforms Data Access

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GraphQL primary operations

GraphQL creates a schema to describe all the possible data that clients can query through the service. A GraphQL schema is made up of object types, which define its fields as well as the type of object you can request.

As queries come in, GraphQL validates the queries against the schema. GraphQL then executes the validated queries.

The API developer attaches each field in a schema to a function called a resolver. During execution, the resolver is called to produce the value.

Based on the graph data modelling with the schema at its core, GraphQL has three primary operations:

Query

Send a query to your API and get exactly what you need, nothing more and nothing less, in a single API call.

Mutation

Write GraphQL APIs that work with your existing data and code.

Subscription

 Long-lived query that fetches data in response to source events.

GraphQL has a number of design principles

Hierarchical

Queries are structured like the data they return. This makes it easy to shape the data and write queries.

Product Centric

Language and runtime are built around the needs of front-end engineers and the views they create.

Strong Typing

Type generation libraries can take advantage of the strongly-typed nature of GraphQL schema to automatically generate TypeScript types based on that schema.

Client Specified Queries

Your application has complete control over the exact data it receives from the server by defining the specific fields it needs in its query. This ensures that it fetches only what is asked for and prevents unnecessary over-fetching.

Introspective

Introspection is a powerful tool that allows developers to query details about the GraphQL schema itself. This is essential for understanding the structure and capabilities of an API.

Spring Boot vs GraphQL – A Power Duo, Not a Rivalry

While Spring Boot and GraphQL serve different purposes, together they form a modern, high-performance application stack:

Feature / Focus Spring Boot GraphQL
Primary Role Backend application framework API query language
Use Case Building microservices, APIs, web apps Serving client-defined data from APIs
Data Handling RESTful endpoints (by default) Flexible, single-endpoint data queries
Configuration Auto-configured, convention over config Schema-defined, introspective
Scalability Horizontal scaling with microservices Scalable queries and dynamic API federation
Best When You need a reliable, production-ready backend You want front-end flexibility and data efficiency
Integration Can expose GraphQL APIs via Spring Boot Consumes data from Spring Boot services

 

Together: Use Spring Boot to build robust backend services, and GraphQL to expose them in a modern, flexible way. It’s the architectural equivalent of pairing a high-performance engine with a precision steering system.

How our GraphQL Service Works

At DeeperThanBlue, we help you unlock the full potential of GraphQL — not just as a technical tool, but as a business enabler. Here’s our approach:

1. API Strategy & Advisory

We start by assessing your current API landscape, identifying opportunities where GraphQL can reduce complexity, unify services, and accelerate performance.

2. Schema Design & Architecture

Our expert consultants craft well-structured, scalable GraphQL schemas that serve both current and future data needs — aligned to your domain model and digital objectives.

3. Implementation & Integration

Whether you’re starting from scratch or layering GraphQL over existing REST services, we handle the GraphQL development heavy lifting — including resolver logic, data federation, and security controls.

4. Tooling & Developer Enablement

We integrate modern dev tools (like Apollo, GraphiQL, or PostGraphile) and provide tailored training to empower your teams to work confidently with GraphQL.

5. Optimisation & Support

After deployment, we monitor performance, manage schema evolution, and fine-tune APIs for scalability, stability, and long-term success.

How DeeperThanBlue can help with GraphQL

Design & Architecture

Implementing best-practice approaches tailored to your specific requirements for GraphQL installations.

Build & Develop

Development and testing services, utilising agile methodologies to build high-quality software solutions based on GraphQL solutions.

Upgrades & Migrations

Ensuring your GraphQL investment is maintained and future-proofed.

Health Checks & Performance Reviews (APM/ SRE)

Ensuring that GraphQL environments are performing to service levels, and are up to date with application and security fix packs.

Support & AMS

Providing support and managed services offerings for GraphQL to meet your organisations business requirements and service.

Case Studies

How our GraphQL Services Have Helped Businesses Like Yours

Howarth – Building for the future

Buy now, pay later – financial flexibility for Frasers’ customers

Transforming Studio Retail’s Mobile App

Andertons Music – Upping the beat

Beauty Pie – Building a market disrupter

GraphQL Services at DeeperThanBlue

At DeeperThanBlue, we’re committed to helping you leverage GraphQL to its fullest potential. If you’re keen to learn more and see how we can help you to reach your business goals, get in touch today.

 

 

+44 (0)114 399 2820

[email protected]

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GraphQL FAQs

What is GraphQL?

GraphQL is an open-source query language and runtime for APIs, developed by Facebook in 2012 and publicly released in 2015. It allows clients to request specific data they need from a single endpoint, eliminating over-fetching and under-fetching of data common in REST APIs. With GraphQL, developers can create a schema outlining all possible data types and operations, allowing clients to query exactly what they require in a consistent and predictable format. This approach offers greater flexibility and efficiency in data retrieval, making it particularly useful for complex applications with interconnected data or those requiring real-time updates. GraphQL supports reading, writing (mutating), and subscribing to data changes, and can work with various programming languages and database systems.

What is GraphQL Vs REST API?

GraphQL and REST API are both common architectural patterns for building APIs but they differ in their approach to data fetching. REST APIs typically expose multiple endpoints, each returning a fixed set of data. This can lead to over-fetching or under-fetching, as the client has limited control over the data received. GraphQL, on the other hand, exposes a single endpoint and allows clients to specify exactly what data they need through queries. This gives clients more flexibility, reduces data transfer, and improves performance. GraphQL also uses a schema to define the available data, providing strong typing and introspection capabilities that REST APIs often lack.

How Can GraphQL Improve the Performance of My Application?

GraphQL enhances application performance by enabling clients to request only the specific data they need, avoiding over-fetching (receiving excess data) and under-fetching (requiring multiple requests for complete information retrieval). This precision reduces data transfer, minimises processing requirements, and accelerates response times, resulting in more efficient and responsive applications. At DeeperThanBlue, we can help implement GraphQL to optimise your data retrieval processes, particularly beneficial for complex systems and microservices architectures.

Which Industries Could Benefit From Implementing GraphQL?

GraphQL is highly versatile and benefits industries with complex data needs or high-performance requirements. Examples include:

  • eCommerce: Streamlines API management for dynamic product catalogues and enhances user experience through faster data retrieval.
  • Media and Entertainment: Powers scalable video streaming platforms by efficiently managing metadata from diverse sources.
  • Finance: Facilitates real-time dashboards for tracking transactions or market data.
  • Healthcare: Integrates multiple data sources to streamline patient records and analytics.
  • Logistics: allows real-time updates from devices and vehicles on the delivery process providing enhanced instrumentation and visibility improving the customer experience
  • Telecommunications: Optimises APIs for large-scale customer data operations.

Is GraphQL Suitable for Both Small and Large Applications?

Yes, GraphQL adapts effectively to both small and large applications. For smaller projects, it provides an efficient approach to data fetching, avoiding the typical inefficiencies of REST APIs. In larger, more complex applications, GraphQL’s schema and strong typing deliver significant advantages in managing data dependencies, ensuring consistency, and supporting team collaboration. Its ability to aggregate data from multiple sources also makes it ideal for microservices architectures.

How Much Does It Cost to Implement GraphQL?

Implementation costs for GraphQL vary based on your specific requirements, including application complexity, chosen tools and libraries, and whether you need enterprise-level features. Many GraphQL tools, such as Apollo Server or GraphQL Yoga, are open-source and free, though additional costs may arise from hosting, development resources, and optional paid services like Apollo Studio for advanced graph management. For businesses, operational savings from reduced API maintenance and improved efficiency often outweigh initial implementation costs.

Can GraphQL be Integrated With Existing REST Services?

Absolutely. GraphQL can be seamlessly integrated with existing REST services. It can act as a layer on top of your current REST APIs, aggregating data from multiple endpoints into a single GraphQL endpoint. This approach allows you to gradually adopt GraphQL without requiring an immediate infrastructure overhaul. At DeeperThanBlue, we have expertise in integrating GraphQL with various backend systems including Spring Boot and our own CXOne platform <link>, ensuring a smooth transition and minimal disruption to your existing services.

How Disruptive is it to Introduce GraphQL?

Introducing GraphQL can be minimally disruptive with proper planning. It can be layered over existing REST APIs, enabling gradual transition without requiring complete backend redesign. However, some disruption may occur during the learning curve for developers unfamiliar with GraphQL’s schema-based approach. Additionally, robust security measures must be implemented to address vulnerabilities like query abuse or denial-of-service attacks. With proper integration strategies, organisations can adopt GraphQL smoothly while reaping its long-term benefits.

How Does GraphQL Handle Complex Queries and Relationships?

GraphQL allows clients to request multiple related entities in a single query, eliminating the need for multiple round trips to the server. This capability is particularly useful in complex systems with deeply interconnected data, as it reduces latency and enhances overall performance.

What Are the Security Considerations for GraphQL APIs?

While GraphQL offers many advantages, it requires additional security measures such as query complexity limits and input validation to prevent misuse. Unlike REST, GraphQL does not inherently enforce role-based access control or rate limiting, so these must be implemented separately.

How Does GraphQL Support Real-Time Updates?

GraphQL natively supports real-time updates through subscriptions, allowing clients to receive notifications when data changes. This feature particularly benefits applications requiring live updates, such as live feeds, market data or collaborative tools.

Can GraphQL Be Used With Headless Architecture?

Yes, GraphQL is ideally suited for headless architecture, where the backend and frontend systems are decoupled. Its strong typing and single evolving API make it ideal for managing multiple frontend applications from a single backend source. We have implemented a number of headless applications for clients including eCommerce that leveraged GraphQL including our CXOne Storefront (link) and for mobile apps that require high performance and undertake high workloads.

How Does GraphQL Impact Development Time and Costs?

GraphQL’s self-documenting schema and strong typing streamline development and debugging processes, reducing errors and accelerating time-to-market for new features. This efficiency can lead to significant cost savings in development and maintenance.

Is GraphQL Suitable for Legacy Systems?

Yes, GraphQL integrates effectively with legacy systems by functioning as a layer above existing APIs, enabling gradual modernisation without disrupting current infrastructure. This approach allows you to leverage GraphQL’s benefits while maintaining compatibility with older systems. We have leveraged many legacy systems such as Finance, ERP, Warehouse Management, Order Management and many more through the use of GraphQL.