Amazon OpenSearch vs turbopuffer
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
turbopuffer is the stronger AI pick in Vector Databases: it has a visibility score of 4.6 versus 0 for Amazon OpenSearch.
Choose Amazon OpenSearch if…
- You need HIPAA eligible or PCI DSS or SOC or ISO or FedRAMP or DoD CC SRG or CSA STAR or FIPS 140-2 or ISO 27017 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose turbopuffer if…
- You want the brand AI engines rank higher (4.6 vs 0)
- You need SOC 2 Type 2 or HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Amazon OpenSearch | turbopuffer |
|---|---|---|
| Visibility score | 0% | 4.6% |
| Change vs last week | New | New |
| Rank in Vector Databases | #28 | #14 |
| Share of voice | 0% | 1.9% |
| Mentions this run | 0 | 9 |
| Positive in AI answers | — | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Amazon OpenSearch 0pp · turbopuffer 0pp over 0 weekly runs.
Engine by engine
turbopuffer leads on 3 of 3 engines
Head to head in AI answers
0 engine answers name both brands
Features, pricing & fit
| Dimension | Amazon OpenSearch | turbopuffer |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | $16 / mo |
| Free plan | — | No |
| Deployment | Fully managed clusters or the Serverless option | Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan. |
| Compliance | HIPAA eligible, PCI DSS, SOC, ISO, FedRAMP, DoD CC SRG, CSA STAR, FIPS 140-2, ISO 27017 | SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA |
| Support | — | Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise |
| Founded | — | 2023 |
| Headquarters | Seattle, Washington | Ottawa, Ontario, Canada |
| Employees | 5,000+ | 11–50 |
| Funding | — | Seed |
| Best for | — | Teams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost. |
Plans side by side
Amazon OpenSearch
Pricing not available.
turbopuffer
Pros and cons
Themes from the AI answers that mention each brand
Amazon OpenSearch
Profile in progress.
turbopuffer
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
- cloud-native, cost-conscious design
- ranked among highest vendors in an industry ranking
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Amazon OpenSearch vs turbopuffer”, https://slateindex.ai/compare/amazon-opensearch-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.