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Software · head to head

Qdrant vs dbt

Qdrant logo

Qdrant

Software

High-performance vector database for similarity search and embedding-based retrieval

From
Free
Rated
-
Full reviewWebsite
dbt logo

dbt

Software

SQL transformation framework enabling analytics engineers to version, test and deploy models

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments; dbt free tier severely limited to one developer seat and 3,000 models/month

Where they differ

Only the attributes on which Qdrant and dbt actually diverge.

Attributes where Qdrant and dbt differ
AttributeQdrantdbt
PlatformsCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Unknown).

What people use each for

The jobs each tool is most often brought in to do.

Qdrant

  • Retrieval-augmented generation (RAG) backends for LLM applicationsnot dbt
  • Semantic search across large document corporanot dbt
  • Multimodal retrieval (text, images, video) for recommendation systemsnot dbt
  • Similarity-based product or content recommendationsnot dbt
  • Real-time vector indexing for streaming embedding datanot dbt

dbt

  • Data warehouse transformation and ELT pipelinesnot Qdrant
  • Analytics engineering for reporting and business intelligencenot Qdrant
  • Data quality testing and validation at scalenot Qdrant
  • Cross-functional data collaboration with version controlnot Qdrant
  • Cost optimisation of warehouse usage through intelligent schedulingnot Qdrant

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Qdrant

  • Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
  • Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
  • Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
  • Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model

dbt

  • Free tier severely limited to one developer seat and 3,000 models/month
  • Starter plan at $100/user/month for each additional seat adds costs for team collaboration
  • Requires existing data warehouse; not suitable for teams without cloud warehouse investment

Pricing, plan by plan

Qdrant

Free
  • FreeFree
    • Single-node cluster
    • 0.5 vCPU
    • 1GB RAM
  • Standard$null/usage-based
    • Dedicated resources
    • Flexible scaling
    • High availability
  • Premium$null/minimum spend
    • SSO and SAML
    • Private VPC links
    • 99.9% uptime SLA

dbt

Free
  • Developer (Free)Free
    • One Developer seat
    • 3,000 successful models built per month
    • Browser IDE
  • Starter$100/user/month
    • Five Developer seats
    • 15,000 successful models built per month
    • dbt Catalog
  • Enterprise$null/custom
    • Custom Developer seat count
    • 100,000 successful models built per month
    • 30 projects
  • Enterprise+$null/custom
    • Unlimited projects
    • All Enterprise features
    • PrivateLink

Which should you pick?

Choose Qdrant if

  • You want to start without paying.
  • You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Qdrant review

Choose dbt if

  • You want to start without paying.
  • You work on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
dbt review

Questions people ask

Is Qdrant or dbt better?
Neither clearly leads. Qdrant starts at Free and dbt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Qdrant or dbt?
Qdrant starts at Free and dbt at Free.
Does Qdrant or dbt run on more platforms?
Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming). dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
Can I use Qdrant for free?
Both have a free tier, so you can try either at no cost before committing.
What is Qdrant best used for?
Qdrant is most often used for retrieval-augmented generation (rag) backends for llm applications, semantic search across large document corpora, multimodal retrieval (text, images, video) for recommendation systems, similarity-based product or content recommendations. Of those, retrieval-augmented generation (rag) backends for llm applications and semantic search across large document corpora are not what dbt is typically brought in for.
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