GraphQL setup

GraphQL is a query language and API layer where the client describes in one query exactly the data and fields it needs and receives them in one response (instead of several REST endpoints). It is convenient when data has a complex structure, clients need different slices, and there are several consumer types (web, mobile, partners). The goal is query flexibility, no over/under-fetching, a unified typed schema. Honestly about 'for complex data, not for a simple API', this is key: GraphQL shines when data is complex and interrelated, clients need different field combinations, and there are many consumers. For a simple or mid API (a few entities, predictable queries) REST is simpler, more familiar, with ready infrastructure (caching, tools) and more than sufficient. Dragging GraphQL into a simple project is over-engineering. We will honestly assess whether you need it. Honestly about server complexity: GraphQL shifts complexity to the server. A schema and resolvers appear, the classic N+1 query problem (dataloaders/optimization needed), caching difficulties (no out-of-the-box caching like in REST/HTTP), protection from overly heavy/deep queries, more subtle rate-limiting and field-level access control. It is real engineering work that must be done right. Honestly about 'not faster and not better than REST': GraphQL is not a 'faster' or 'more correct' API but a DIFFERENT tool with different trade-offs. In some cases it is more convenient (flexibility, many clients), in others REST is simpler and more reliable. The choice is about the task, not fashion. Honestly about the learning curve: the team and sometimes clients need to learn GraphQL and its pitfalls. Honestly about the effect: for complex/multi-client scenarios it gives flexibility and removes over/under-fetching, but it is an investment in complexity, not justified for everyone. Honestly about access: data/an API, a team are needed. An important boundary: this is GraphQL; REST/regular APIs — adjacent; event-driven — 1063; WebSocket (real-time) — 1061. Picture this: instead of 'a pile of REST queries or extra data' — one flexible query for what is needed, where it is genuinely justified. The base price starts from 65,000 ₽ (depends on the schema and integrations).

• Clients need different data slices — REST requires many queries or returns extra.
• A complex interrelated data structure and several client types.
• You want GraphQL but it is unclear whether it is excessive (REST would suffice).
• A past GraphQL was made without N+1/caching/protection — problems.

• An honest assessment: is GraphQL needed or is REST simpler/sufficient
• GraphQL implementation (schema, resolvers, typing)
• Solving N+1 (dataloaders), a caching strategy
• Protection from heavy/deep queries, rate-limiting, field-level access
• Honest boundaries (for complex data/many clients; excessive for the simple; not faster than REST; learning curve)
• A link with REST, event-driven (1063), WebSocket (1061)
• A schema-maintenance plan
• Handover and review with you

• Flexible queries for exactly the needed data (for complex scenarios)
• A unified typed schema for different clients
• Solved N+1/caching/query protection
• Honest boundaries (for complex data; not for a simple API; not faster than REST; no guarantee)

• We assess data complexity and the number of clients (is GraphQL needed)
• If yes — we design the schema, resolvers, solve N+1/cache/protection
• If not — we recommend REST, honestly set boundaries with you

• Is GraphQL better than REST?

  Not 'better', a DIFFERENT tool, honestly: GraphQL is more convenient for complex interrelated data, flexible queries and many client types. But for a simple/mid API REST is simpler, more familiar, with ready infrastructure (caching) and more than sufficient. GraphQL is not 'faster' or 'more correct' but with different trade-offs. Dragging it into a simple project is over-engineering. We choose by the task, not by fashion.

• Will GraphQL speed up my API?

  Not necessarily, honestly: GraphQL removes over/under-fetching (the client takes exactly what is needed) but by itself is not faster than REST. Moreover, without correct implementation it creates the N+1 query problem, caching difficulties and a risk of heavy queries that can slow the server. Speed depends on a sound implementation (dataloaders, cache, protection), not the fact of GraphQL. We build this in honestly.

• Is GraphQL just install and done?

  No, honestly: GraphQL shifts complexity to the server. You must solve N+1 (dataloaders), think through caching (no out-of-the-box caching like REST/HTTP), protection from overly deep/heavy queries, rate-limiting and field-level access control. Without these GraphQL is vulnerable and slow. It is real engineering work plus a learning curve. We honestly build this in rather than 'turn on GraphQL'.