Softwr

Database & Data Management · head to head

Convex vs Qdrant

C

Convex

Database & Data Management

The reactive backend platform that keeps up with you and your agents

From
On request
Rated
-
Full reviewWebsite
Qdrant logo

Qdrant

Database & Data Management

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Qdrant has a free tier, so it costs nothing to try first.
  • Each has a real cost: Convex the Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments

Where they differ

Only the attributes on which Convex and Qdrant actually diverge.

Attributes where Convex and Qdrant differ
AttributeConvexQdrant
Starting priceOn requestFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsWebCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)

Identical on both: user rating (Not yet rated), category (Database & Data Management).

What people use each for

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

Convex

No use cases recorded yet. See the Convex review.

Qdrant

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

Where each one falls short

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

Convex

  • The Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.

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

Pricing, plan by plan

Convex

On request

No published plan breakdown. See the Convex review.

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

Which should you pick?

Choose Convex if

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

Convex review

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

Questions people ask

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