Firebase vs AWS vs Supabase comparison - Performance Comparison
When using cloud services like Firebase, AWS, or Supabase, it's important to know how the time to complete tasks grows as you add more data or users.
We want to understand how the number of operations changes when we scale up.
Analyze the time complexity of fetching user data from Firebase.
const db = getFirestore();
const usersRef = collection(db, 'users');
const snapshot = await getDocs(usersRef);
snapshot.forEach(doc => {
console.log(doc.id, '=>', doc.data());
});
This code fetches all user documents from the 'users' collection and processes each one.
Look at what repeats when fetching and processing data.
- Primary operation: Fetching each user document from the database.
- How many times: Once per user document in the collection.
As the number of users grows, the number of documents fetched and processed grows too.
| Input Size (n) | Approx. Api Calls/Operations |
|---|---|
| 10 | 10 document fetches |
| 100 | 100 document fetches |
| 1000 | 1000 document fetches |
Pattern observation: The number of operations grows directly with the number of users.
Time Complexity: O(n)
This means the time to fetch and process data grows in a straight line with the number of user documents.
[X] Wrong: "Fetching all users is always fast no matter how many users there are."
[OK] Correct: More users mean more documents to fetch, so the time grows with the number of users.
Understanding how cloud operations scale helps you design apps that stay fast as they grow. This skill shows you can think about real-world app performance.
What if we changed fetching all users to fetching only users with a specific property? How would the time complexity change?
Practice
Solution
Step 1: Understand Firebase's main strength
Firebase is designed for fast app development with realtime database and simple backend features.Step 2: Compare with AWS and Supabase
AWS is more complex and flexible, Supabase is open-source with SQL focus, but Firebase excels in realtime simplicity.Final Answer:
Firebase -> Option AQuick Check:
Realtime + simple backend = Firebase [OK]
- Confusing AWS as fastest for simple apps
- Thinking Supabase is best for realtime simplicity
- Assuming all platforms are equally simple
Solution
Step 1: Identify AWS's core purpose
AWS provides a wide range of cloud services designed for large and complex projects requiring flexibility.Step 2: Eliminate incorrect options
"AWS is only for small projects with simple backend needs." is false because AWS handles complex projects; "AWS is mainly used for mobile app development with realtime database." describes Firebase; "AWS is an open-source SQL backend with realtime features." describes Supabase.Final Answer:
AWS offers powerful and flexible cloud services for complex projects. -> Option BQuick Check:
AWS = powerful + flexible for complex projects [OK]
- Thinking AWS is only for simple apps
- Mixing Supabase features with AWS
- Assuming AWS is mainly for realtime mobile apps
Solution
Step 1: Analyze the description keywords
Open-source, SQL backend, and realtime features point to Supabase's main characteristics.Step 2: Compare with other platforms
Firebase is not open-source and uses NoSQL; AWS is not open-source and offers many services; Google Cloud Functions is serverless compute, not a backend database.Final Answer:
Supabase -> Option AQuick Check:
Open-source + SQL + realtime = Supabase [OK]
- Confusing Firebase as open-source
- Thinking AWS is open-source SQL backend
- Mixing serverless functions with backend databases
Solution
Step 1: Understand Firebase's limitations
Firebase is great for simple apps but does not offer the extensive cloud services and flexibility AWS provides.Step 2: Identify the mistake
Choosing Firebase for complex infrastructure needs leads to lack of flexibility and missing services, which AWS covers well.Final Answer:
Firebase lacks the flexibility and wide range of cloud services AWS offers. -> Option DQuick Check:
Complex app needs flexibility = AWS, not Firebase [OK]
- Thinking Firebase is complex and hard for simple apps
- Believing Firebase lacks realtime support
- Assuming Firebase requires manual SQL management
Solution
Step 1: Identify the requirements
The app needs realtime updates, SQL database, and open-source tools.Step 2: Match requirements to platforms
Firebase is not open-source and uses NoSQL; AWS is powerful but not open-source SQL backend; Supabase fits all requirements.Step 3: Confirm Supabase features
Supabase offers open-source SQL backend with realtime features, ideal for this scenario.Final Answer:
Supabase, because it provides an open-source SQL backend with realtime capabilities. -> Option CQuick Check:
Realtime + SQL + open-source = Supabase [OK]
- Choosing Firebase for SQL and open-source
- Assuming AWS is open-source SQL backend
- Believing no platform supports these features
Ready to prove it?
Pass the test and this pattern moves unknown
