Softwr

Software · head to head

Qdrant vs Chroma

Qdrant logo

Qdrant

Software

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

From
Free
Rated
-
Full reviewWebsite
C

Chroma

Software

Open-source search infrastructure for AI

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Qdrant has a free tier, so it costs nothing to try first.
  • Each has a real cost: Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments; Chroma chroma Cloud meters four separate dimensions: $2.50 per GiB written, $0.33 per GiB stored monthly, $0.0075 per TiB queried, and $0.09 per GiB returned over the network, as of August 2026.

Where they differ

Only the attributes on which Qdrant and Chroma actually diverge.

Attributes where Qdrant and Chroma differ
AttributeQdrantChroma
Starting priceFreeOn request
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)Web

Identical on both: 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 Chroma
  • Semantic search across large document corporanot Chroma
  • Multimodal retrieval (text, images, video) for recommendation systemsnot Chroma
  • Similarity-based product or content recommendationsnot Chroma
  • Real-time vector indexing for streaming embedding datanot Chroma

Chroma

No use cases recorded yet. See the Chroma review.

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

Chroma

  • Chroma Cloud meters four separate dimensions: $2.50 per GiB written, $0.33 per GiB stored monthly, $0.0075 per TiB queried, and $0.09 per GiB returned over the network, as of August 2026.

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

Chroma

On request

No published plan breakdown. See the Chroma review.

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 Chroma if

Nothing in the data separates Chroma from Qdrant on the points above - pick on price and on how each one feels to use.

Chroma review

Questions people ask

Is Qdrant or Chroma better?
Neither clearly leads. Qdrant starts at Free and Chroma at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Qdrant or Chroma?
Qdrant has a free tier; the other does not. Paid plans start at Free for Qdrant and On request for Chroma.
Does Qdrant or Chroma run on more platforms?
Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming). Chroma runs on Web.
Can I use Qdrant for free?
Yes. Qdrant has a free tier, so you can try it without paying. Chroma starts at On request.
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 Chroma is typically brought in for.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Qdrant

More on Chroma

Keep looking

Other head to heads