Databricks vs Supabase
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Supabase is the stronger AI pick in Vector Databases: it has a visibility score of 5.7 versus 1.4 for Databricks, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 18% positive)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Supabase if…
- You want the brand AI engines rank higher (5.7 vs 1.4)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or HIPAA (BAA available) coverage
- Integrates smoothly with Firebase and Supabase
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Supabase |
|---|---|---|
| Visibility score | 1.4% | 5.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #12 |
| Share of voice | 0.8% | 2.2% |
| Mentions this run | 4 | 11 |
| Positive in AI answers | 35% | 18% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Supabase 0pp over 0 weekly runs.
Engine by engine
Supabase leads on 2 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Databricks | Supabase |
|---|---|---|---|
| Compare the leading Vector Databases platforms | ChatGPT | #10 | #9 |
Features, pricing & fit
| Dimension | Databricks | Supabase |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $25 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Hosted cloud in AWS regions across the US, EU and Asia Pacific, or self-hosted open source |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type 2, ISO 27001, HIPAA (BAA available) |
| Support | Technical support on request, Technical documentation | Community support (Free plan), Email support (Pro plan), Priority email support and SLAs (Team plan), 24x7 premium enterprise support and private Slack channel (Enterprise plan) |
| Founded | 2013 | 2020 |
| Headquarters | San Francisco, CA | Remote-first, United States |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Series D · $1000M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams building production applications on Postgres that want auth, storage, realtime and vector search in one backend |
Plans side by side
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Supabase
- Integrates smoothly with Firebase and Supabase
- Zero extra infrastructure when already running Postgres via Supabase
- Pay nothing extra for pgvector on an existing database
- Minimal operational overhead for existing Postgres clusters
- Offers vector search via pgvector, with customers paying only for the database
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Supabase”, https://slateindex.ai/compare/databricks-vs-supabase, data of Nov 2, 2026. Licence: CC BY 4.0.