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LanceDBThe multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering.
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2

LanceDB vs Qdrant

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 5.7 for LanceDB, and ranks ahead in 92% of the answers that name both.

Choose LanceDB if…

  • You need SOC 2 Type II or GDPR coverage
  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks
  • Free local install without cloud signup

Choose Qdrant if…

  • You want the brand AI engines rank higher (60.5 vs 5.7)
  • AI answers describe it more positively (68% vs 31% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type 2 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric LanceDB Qdrant
Visibility score5.7%60.5%
Change vs last weekNewNew
Rank in Vector Databases#11#2
Share of voice2.8%13.4%
Mentions this run1363
Positive in AI answers31%68%

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 2LanceDB 6%

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

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT
6.1%
71.8%
AI Mode
6.1%
59.4%
Perplexity
5%
50.2%
LanceDBQdrant

Head to head in AI answers

13 engine answers name both brands

1LanceDB ranked higher
12Qdrant ranked higher

Features, pricing & fit

DimensionLanceDBQdrant
Pricing model—Usage-based
Entry price—Contact sales
Free plan—Yes
DeploymentOpen-source edition embedded in the application; LanceDB Cloud serverless; Enterprise in the customer's own cloud.Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
ComplianceSOC 2 Type II, HIPAA, GDPRSOC 2 Type 2, HIPAA
SupportContact form, with a reply promised within 48 hoursCommunity 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
Founded20222021
HeadquartersSan Francisco, CaliforniaBerlin, Germany
Employees11–5051–200
FundingSeries ASeries B · $88M raised
Best forFeature teams building production AI applications with vector search and multimodal data.Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed

Plans side by side

LanceDB

Pricing not available.

Qdrant

Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Qdrant pricing

Pros and cons

Themes from the AI answers that mention each brand

LanceDB

  • Open-source, serverless vector database
  • Embeds directly into applications and notebooks
  • Free local install without cloud signup
  • Seamless embedded or lakehouse table use

    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

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “LanceDB vs Qdrant”, https://slateindex.ai/compare/lancedb-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.