TokenCost.io
Database & Serverless Compute TCO Simulator

Supabase vs Firebase Cost Calculator & Backend Pricing Comparison

PostgreSQL + pgvector vs Google Firestore NoSQL: Estimate monthly bills and egress fees.

Simulate Backend Traffic & Database Operations

500k API Invocations
Monthly Invocations500k
DB Reads / Queries2M
DB Writes / Mutations300k
Storage Size15 GB
Egress Bandwidth80 GB
Pro Tier

Supabase (PostgreSQL & Vector)

Best for pgvector RAG
Total Monthly Bill
$25.88 / month
Base Tier Cost:$25.00
Compute / Requests:$0.00
Database Reads:$0.00
Database Writes:$0.00
Storage (15 GB):$0.875
Egress Bandwidth (80 GB):$0.00
Deploy on Supabase
Blaze (Pay As You Go)

Google Firebase (Firestore)

Realtime Sync
Total Monthly Bill
$11.22 / month
Base Tier Cost:$0.00
Compute / Requests:$0.00
Database Reads:$0.300
Database Writes:$0.00
Storage (15 GB):$2.52
Egress Bandwidth (80 GB):$8.40
Deploy on Google Cloud Firebase

Architectural Cost Verdict

Supabase Pro ($25/mo flat base) is far more cost-effective for AI RAG applications requiring pgvector embeddings and heavy document reads, whereas Firebase charges per document read which can escalate rapidly on large queries.

Key Pricing Levers & Differences

  • Supabase includes pgvector natively in Postgres at no extra charge.
  • Firebase charges $0.60 per 1M document reads; Supabase includes millions of reads in compute.
  • Supabase offers 250 GB free egress on Pro; Firebase egress is $0.12/GB over 10GB.
  • Firebase offers seamless client-side real-time document listeners.

Best for Supabase (PostgreSQL & Vector)

  • • AI applications using vector embeddings and SQL joins
  • • Complex relational data models and structured reporting
  • • Predictable monthly billing without read spikes

Best for Google Firebase (Firestore)

  • • Mobile apps requiring real-time offline sync
  • • Fast MVPs needing plug-and-play Google Auth and Firestore
  • • Low-volume write-heavy IoT event streams

Frequently Asked Questions

Supabase is universally preferred for AI RAG because PostgreSQL natively supports the pgvector extension with indexing (HNSW and IVFFlat), eliminating the need for a separate vector database like Pinecone.