QdrantOpen-Source Vector Search Engine written in Rust
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2
Qdrant vs turbopuffer
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Qdrant is the stronger AI pick in Vector Databases: it has a visibility score of 60.5 versus 4.6 for turbopuffer, and ranks ahead in 78% of the answers that name both.
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 4.6)
- You want a free plan to start
- AI answers describe it more positively (68% vs 33% positive)
- You need a self-hosted or on-premises option
Choose turbopuffer if…
- You need 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
- cloud-native, cost-conscious design
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Qdrant | turbopuffer |
|---|---|---|
| Visibility score | 60.5% | 4.6% |
| Change vs last week | New | New |
| Rank in Vector Databases | #2 | #14 |
| Share of voice | 13.4% | 1.9% |
| Mentions this run | 63 | 9 |
| Positive in AI answers | 68% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Qdrant 0pp · turbopuffer 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Qdrantturbopuffer
Head to head in AI answers
9 engine answers name both brands
7Qdrant ranked higher
2turbopuffer ranked higher
| Prompt | Engine | Qdrant | turbopuffer |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | ChatGPT | #2 | #11 |
| What are the best Vector Databases tools in 2026? | Perplexity | #1 | #9 |
| Alternatives to the most popular vector database | AI Mode | #3 | #7 |
| Alternatives to the most popular vector database | Perplexity | #2 | #10 |
| Which vector database has transparent pricing? | ChatGPT | #1 | #5 |
| Official website of the top vector database vendors | ChatGPT | #3 | #12 |
| Official website of the top vector database vendors | AI Mode | #3 | #2 |
| Official website of the top vector database vendors | Perplexity | #2 | #13 |
| Who makes the most used vector database? | ChatGPT | #3 | #2 |
Features, pricing & fit
| Dimension | Qdrant | turbopuffer |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Contact sales | $16 / mo |
| Free plan | Yes | No |
| Deployment | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge | Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan. |
| Compliance | SOC 2 Type 2, HIPAA | SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA |
| Support | Community support via Discord on the free tier, Standard tier: email and ticket portal, 10x5 business hours, Premium tier: 24/7 support with private Slack, Discord or Teams channels, Enterprise tier: custom response SLA and advisory services | Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise |
| Founded | 2021 | 2023 |
| Headquarters | Berlin, Germany | Ottawa, Ontario, Canada |
| Employees | 51–200 | 11–50 |
| Funding | Series B · $88M raised | Seed |
| Best for | Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed | 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
Qdrant
Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
turbopuffer
launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
Pros and cons
Themes from the AI answers that mention each brand
Qdrant
- High performance and memory efficiency, written in Rust
- Strong metadata and complex payload filtering
- Free tier for prototyping and testing
- Open-source option with flexible self-hosting
- Strong default choice for startups and production RAG
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, “Qdrant vs turbopuffer”, https://slateindex.ai/compare/qdrant-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.