OpenSearchThe open engine for AI-powered search and observability
vs
SupabaseBuild in a weekend. Scale to millions.
Comparison · Vector Databases · weekly run Nov 2
OpenSearch 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 3.9 for OpenSearch.
Choose OpenSearch if…
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
Choose Supabase if…
- You want the brand AI engines rank higher (5.7 vs 3.9)
- AI answers describe it more positively (18% vs 0% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or ISO 27001 or HIPAA (BAA available) coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | OpenSearch | Supabase |
|---|---|---|
| Visibility score | 3.9% | 5.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #16 | #12 |
| Share of voice | 1.7% | 2.2% |
| Mentions this run | 8 | 11 |
| Positive in AI answers | 0% | 18% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
OpenSearch 0pp · Supabase 0pp over 0 weekly runs.
Engine by engine
Supabase leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
OpenSearchSupabase
Head to head in AI answers
0 engine answers name both brands
0OpenSearch ranked higher
0Supabase ranked higher
Features, pricing & fit
| Dimension | OpenSearch | Supabase |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $25 / mo |
| Free plan | — | Yes |
| Deployment | Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters. | Hosted cloud in AWS regions across the US, EU and Asia Pacific, or self-hosted open source |
| Compliance | — | SOC 2 Type 2, ISO 27001, HIPAA (BAA available) |
| Support | Community forum, Slack, GitHub, Long-term support from certified providers | 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 | 2021 | 2020 |
| Headquarters | San Francisco, CA, United States | Remote-first, United States |
| Employees | 51–200 | 201–500 |
| Funding | — | Series D · $1000M raised |
| Best for | Organizations that want search, vector retrieval, and observability on open source software without vendor lock-in. | Teams building production applications on Postgres that want auth, storage, realtime and vector search in one backend |
Plans side by side
OpenSearch
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
OpenSearch
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
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, “OpenSearch vs Supabase”, https://slateindex.ai/compare/opensearch-vs-supabase, data of Nov 2, 2026. Licence: CC BY 4.0.