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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 score60.5%4.6%
Change vs last weekNewNew
Rank in Vector Databases#2#14
Share of voice13.4%1.9%
Mentions this run639
Positive in AI answers68%33%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Qdrant 61%

Qdrant 0pp · turbopuffer 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT
71.8%
6.7%
AI Mode
59.4%
4.3%
Perplexity
50.2%
2.8%
Qdrantturbopuffer

Head to head in AI answers

9 engine answers name both brands

7Qdrant ranked higher
2turbopuffer ranked higher

Features, pricing & fit

DimensionQdrantturbopuffer
Pricing modelUsage-basedUsage-based
Entry priceContact sales$16 / mo
Free planYesNo
DeploymentManaged cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edgeMulti-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan.
ComplianceSOC 2 Type 2, HIPAASOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA
SupportCommunity 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 servicesCommunity Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise
Founded20212023
HeadquartersBerlin, GermanyOttawa, Ontario, Canada
Employees51–20011–50
FundingSeries B · $88M raisedSeed
Best forDevelopers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managedTeams 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
Qdrant pricing

turbopuffer

launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
turbopuffer pricing

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.