Software · head to head
Qdrant vs Cockroach Labs
Qdrant
Software
High-performance vector database for similarity search and embedding-based retrieval
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments; Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only)
Where they differ
Only the attributes on which Qdrant and Cockroach Labs actually diverge.
| Attribute | Qdrant | Cockroach Labs |
|---|---|---|
| Platforms | Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming) | AWS, GCP, Azure |
| Founded | Unknown | 2015 |
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Qdrant
Nothing recorded that Cockroach Labs does not also cover.
Only in Cockroach Labs
- Distributed SQL
- Automatic Sharding
- Multi-region Replication
- Geo-partitioning
- ACID Transactions
- Horizontal Scaling
- Survivability
- PostgreSQL Compatibility
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 Cockroach Labs
- Semantic search across large document corporanot Cockroach Labs
- Multimodal retrieval (text, images, video) for recommendation systemsnot Cockroach Labs
- Similarity-based product or content recommendationsnot Cockroach Labs
- Real-time vector indexing for streaming embedding datanot Cockroach Labs
Cockroach Labs
- Distributed SQL database for scalable applicationsnot Qdrant
- Multi-region deployment and failovernot 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
Cockroach Labs
- Basic and Standard tiers limited to AWS and GCP (select regions only)
- Azure support restricted to Advanced tier only
- Basic tier limited to 50 million RUs and 10 GiB storage per month
- Advanced tier starts at $0.60/hour for 4 vCPUs minimum
- 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced
Pricing, plan by plan
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$null/usage-based
- Dedicated resources
- Flexible scaling
- High availability
- Premium$null/minimum spend
- SSO and SAML
- Private VPC links
- 99.9% uptime SLA
Cockroach Labs
FreeNo published plan breakdown. See the Cockroach Labs 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).
Choose Cockroach Labs if
- You need distributed sql.
- You want to start without paying.
- You work on AWS, GCP, Azure.
- You also want automatic sharding.
Questions people ask
- Is Qdrant or Cockroach Labs better?
- Neither clearly leads. Qdrant starts at Free and Cockroach Labs at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Qdrant or Cockroach Labs?
- Qdrant starts at Free and Cockroach Labs at Free.
- Does Qdrant or Cockroach Labs run on more platforms?
- Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming). Cockroach Labs runs on AWS, GCP, Azure.
- 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 Cockroach Labs is typically brought in for.
- What can Qdrant do that Cockroach Labs cannot?
- Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning.