Supabase vs Firebase comparison - Performance Comparison

Time Complexity: Supabase vs Firebase comparison

O(1)

Understanding Time Complexity

When comparing Supabase and Firebase, it's important to understand how their operations scale as your app grows.

We want to see how the number of calls or actions changes when handling more data or users.

Scenario Under Consideration

Analyze the time complexity of fetching user data and updating records in Supabase.

const { data, error } = await supabase
  .from('users')
  .select('*')
  .eq('active', true)

const { error: updateError } = await supabase
  .from('users')
  .update({ last_login: new Date() })
  .eq('id', userId)

This code fetches active users and updates the last login time for one user.

Identify Repeating Operations

Identify the API calls, resource provisioning, data transfers that repeat.

• Primary operation: Database query calls to fetch and update user data.
• How many times: Each fetch or update is one API call; fetching multiple users returns multiple records but one call.

How Execution Grows With Input

Fetching more users returns more data but still uses one API call; updating one user is a single call.

Input Size (n)	Approx. API Calls/Operations
10 users	1 fetch call + 1 update call = 2 calls
100 users	1 fetch call + 1 update call = 2 calls
1000 users	1 fetch call + 1 update call = 2 calls

Pattern observation: Number of API calls stays the same regardless of user count; data size grows but calls do not.

Final Time Complexity

Time Complexity: O(1)

This means the number of API calls does not increase as you fetch more users or update one user.

Common Mistake

[X] Wrong: "Fetching more users means more API calls, so it gets slower linearly."

[OK] Correct: Supabase fetches multiple records in one call, so the number of calls stays the same even if data size grows.

Interview Connect

Understanding how cloud database calls scale helps you design efficient apps and answer questions about performance clearly.

Self-Check

What if we updated multiple users in a loop, making one update call per user? How would the time complexity change?