StackMatch / Compare / Supabase vs Databricks
Honest Tool Comparison

Supabase vs Databricks

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

For most teams: Supabase edges ahead on our scoring

Supabase

starter
Database & Data Warehousing

Open-source Firebase alternative — Postgres plus auth, storage, realtime, edge functions, and vector search.

Free: 2 projects, 500 MB. Pro: $25/month. Team: $599/month. Enterprise: custom. Self-hosted: free.
4.8 / 5

Databricks

enterprise
Database & Data Warehousing

Unified analytics platform built on Apache Spark

Pay-per-use; typically $0.10-$0.60+ per DBU

StackMatch Editorial verdicts

Bylined · No vendor influence
SupabaseBUY
Postgres with the rough edges sanded off

Supabase is the open-source Firebase that engineers actually want — Postgres-native, generous free tier, RLS done right. The platform is opinionated in productive ways and the lock-in is genuinely lower than the competition.

Read full review →
DatabricksNo editorial yet

This tool hasn't been reviewed yet by StackMatch Editorial. The data above is what we have so far.

What changed at each vendor

Supabase
One-click Stripe Sync Engine integration in the dashboard
Mar 20, 2026·integration add·source ↗
Databricks

No recent vendor changes tracked.

Side-by-Side Comparison

Objective metrics, no spin.

4.8 (ProductHunt)
Rating
N/A
starter✓ Better
Pricing tier
enterprise
easy✓ Better
Learning curve
steep
Same day for first app
Setup time
2-6 months
4 listed
Integrations
4 listed
small, medium, large
Best company size
large, enterprise
Top Features
Managed Postgres with extensions
Built-in auth (email, OAuth, magic link)
Storage with image transformations
Realtime subscriptions via Postgres CDC
Features
Top Features
Apache Spark
Delta Lake
Collaborative notebooks
MLflow integration
Choose Supabase if...

Web and mobile apps that want a full backend without building auth, storage, and APIs from scratch — especially strong for AI apps needing pgvector.

Avoid Supabase if...

Complex enterprise workloads requiring fine-grained Postgres tuning — raw RDS or self-managed Postgres gives more control.

Choose Databricks if...

For big data processing, machine learning at scale, or unified data + ML platform. Strong for data-intensive analytics.

Avoid Databricks if...

For simple analytics (Snowflake simpler) or if you don't have big data/ML use cases.

Both suited for: large companies

Since both tools target large companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

Still not sure? Describe your situation.

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Other Database & Data Warehousing Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Snowflake

enterprise

Cloud data platform for data warehousing and analytics

View profile →

Amazon Redshift

professional

AWS cloud data warehouse

View profile →

Google BigQuery

professional

Serverless enterprise data warehouse on Google Cloud

View profile →
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