Use Cases — REST vs GraphQL
In this tutorial, you'll learn about Use Cases. We cover key concepts, practical examples, and best practices to help you understand and apply this topic effectively.
REST and GraphQL excel in different scenarios. REST is ideal for public APIs and simple CRUD. GraphQL shines for complex UIs, mobile apps, and internal tools where data flexibility matters.
What You'll Learn
By the end of this lesson, you will evaluate whether REST or GraphQL fits your project based on client types, data complexity, Caching needs, and team expertise.
Why It Matters
Choosing the wrong API style creates ongoing pain. REST's simplicity becomes limiting for complex data. GraphQL's flexibility adds unnecessary complexity for simple APIs.
Real-World Use
Shopify uses GraphQL for admin (complex dashboards) and REST for storefront (simple product fetching). They match each use case to the right tool.
Decision Flow
flowchart TD
Start[New API] --> Public{Public API?}
Public -->|Yes| REST[Choose REST]
Public -->|No| Client{Client Type?}
Client -->|Mobile App| GQL[Choose GraphQL]
Client -->|Web Dashboard| GQL
Client -->|Simple CRUD| REST
Client -->|Third Party| REST
GQL --> Flexibility[Need data flexibility]
REST --> Cache[Need HTTP caching]
Use Case Matcher
# use_case_matcher.py
from typing import Dict, List
class UseCaseMatcher:
def __init__(self):
self.criteria = {}
def score_rest(self, features: Dict[str, bool]) -> int:
score = 0
if features.get("public_api"): score += 10
if features.get("http_caching"): score += 10
if features.get("simple_crud"): score += 8
if features.get("third_party"): score += 8
if features.get("file_upload"): score += 5
if features.get("versioning_needed"): score += 3
if features.get("complex_ui"): score -= 3
if features.get("mobile_first"): score -= 2
return max(0, score)
def score_graphql(self, features: Dict[str, bool]) -> int:
score = 0
if features.get("complex_ui"): score += 10
if features.get("mobile_first"): score += 10
if features.get("multiple_data_sources"): score += 8
if features.get("flexible_queries"): score += 8
if features.get("real_time"): score += 5
if features.get("internal_tool"): score += 5
if features.get("public_api"): score -= 4
if features.get("http_caching"): score -= 3
return max(0, score)
def recommend(self, scenario: str, features: Dict[str, bool]) -> str:
rest_score = self.score_rest(features)
gql_score = self.score_graphql(features)
if rest_score > gql_score:
return f"REST (score {rest_score} vs {gql_score})"
elif gql_score > rest_score:
return f"GraphQL (score {gql_score} vs {rest_score})"
return f"Either (both score {rest_score})"
matcher = UseCaseMatcher()
scenarios = [
("Public e-commerce API", {"public_api": True, "http_caching": True, "simple_crud": True}),
("Mobile social app", {"mobile_first": True, "complex_ui": True, "flexible_queries": True}),
("Internal admin dashboard", {"internal_tool": True, "complex_ui": True, "multiple_data_sources": True}),
("Third-party payments API", {"public_api": True, "third_party": True, "simple_crud": True}),
]
for name, features in scenarios:
rec = matcher.recommend(name, features)
print(f"{name:35s} -> {rec}")
Expected output:
Public e-commerce API -> REST (score 36 vs 5)
Mobile social app -> GraphQL (score 9 vs 31)
Internal admin dashboard -> GraphQL (score 5 vs 31)
Third-party payments API -> REST (score 36 vs 0)
Scenario Implementation
# scenario_impl.py
from typing import Any, Dict
class ScenarioAPI:
def rest_public_api(self):
return {
"style": "REST",
"reason": "Public API needs CDN caching, simple URLs, universal client support",
}
def graphql_mobile_api(self):
return {
"style": "GraphQL",
"reason": "Mobile app needs minimal payloads, flexible queries, fewer round trips",
}
def hybrid_internal_api(self):
return {
"style": "Both",
"reason": "Internal tools use GraphQL for dashboards, REST for service-to-service",
}
api = ScenarioAPI()
print(f"Public: {api.rest_public_api()['reason']}")
print(f"Mobile: {api.graphql_mobile_api()['reason']}")
print(f"Hybrid: {api.hybrid_internal_api()['reason']}")
Expected output:
Public: Public API needs CDN caching, simple URLs, universal client support
Mobile: Mobile app needs minimal payloads, flexible queries, fewer round trips
Hybrid: Internal tools use GraphQL for dashboards, REST for service-to-service
Common Mistakes
1. GraphQL for Everything
Not every API benefits from GraphQL. Simple CRUD with fixed views is better served by REST.
2. REST for Complex Mobile Apps
Mobile apps with complex UIs suffer from REST's multiple round trips and over-fetching. GraphQL is often better.
3. Ignoring Client Capabilities
If your clients are mostly third-party developers, REST is easier to adopt. GraphQL requires understanding queries.
4. No Migration Plan
Switching from REST to GraphQL mid-project is costly. Start with the right choice or plan a gradual migration.
5. Over-Engineering for Hypothetical Needs
"Future flexibility" often leads to unnecessary complexity. Choose based on current needs, not imaginary future ones.
Practice Questions
1. When is REST the clear winner?
Public APIs, simple CRUD, any API needing HTTP caching, third-party integrations.
2. When is GraphQL the clear winner?
Complex UIs, mobile apps, internal dashboards, real-time features, multiple data sources.
3. Can you use both in the same project?
Yes. Use GraphQL for complex queries and REST for simple endpoints. Many companies run both.
4. Which is easier for third-party developers?
REST. It is well-known, universally understood, and has extensive tooling and client libraries.
Challenge
Evaluate your own project using the UseCaseMatcher. List your project's features, compute scores, and decide whether REST or GraphQL is the better choice.
FAQ
Mini Project: API Style Decider
# api_decider.py
from typing import Dict
class APIStyleDecider:
def decide(self, qa: Dict[str, bool]) -> str:
rest_points = 0
gql_points = 0
if qa.get("public"): rest_points += 3
if qa.get("mobile"): gql_points += 3
if qa.get("complex_ui"): gql_points += 3
if qa.get("simple_queries"): rest_points += 2
if qa.get("third_party"): rest_points += 3
if qa.get("caching"): rest_points += 3
if qa.get("flexible_data"): gql_points += 3
if qa.get("team_expertise_rest"): rest_points += 2
if qa.get("team_expertise_gql"): gql_points += 2
if rest_points >= gql_points:
return f"REST ({rest_points} vs {gql_points})"
return f"GraphQL ({gql_points} vs {rest_points})"
decider = APIStyleDecider()
tests = [
{"name": "Public blog", "qa": {"public": True, "simple_queries": True, "caching": True}},
{"name": "Mobile dashboard", "qa": {"mobile": True, "complex_ui": True, "flexible_data": True}},
]
for t in tests:
print(f"{t['name']:20s} -> {decider.decide(t['qa'])}")
Expected output:
Public blog -> REST (8 vs 0)
Mobile dashboard -> GraphQL (8 vs 0)
What's Next
You understand use cases. Next, explore hybrid REST + GraphQL, then how to choose the right approach.
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