Software · head to head
PlanetScale vs Qdrant

Qdrant
Software
High-performance vector database for similarity search and embedding-based retrieval
- From
- Free
- Rated
- -
The short version
- Only Qdrant has a free tier, so it costs nothing to try first.
- Each has a real cost: PlanetScale eBS High Availability requires 3-node configuration with replication overhead; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
Where they differ
Only the attributes on which PlanetScale and Qdrant actually diverge.
| Attribute | PlanetScale | Qdrant |
|---|---|---|
| Starting price | $15/month | Free |
| Pricing model | subscription | freemium |
| Free tier | No | Yes |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming) |
| Founded | 2018 | Unknown |
Identical on both: 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 PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Only in Qdrant
Nothing recorded that PlanetScale does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
PlanetScale
- MySQL database hosting with automatic failover and replicationnot Qdrant
- Vitess-based sharding for horizontal scaling across large datasetsnot Qdrant
- Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot Qdrant
- Cost-effective database clusters using ARM64 architecture optionsnot Qdrant
Qdrant
- Retrieval-augmented generation (RAG) backends for LLM applicationsnot PlanetScale
- Semantic search across large document corporanot PlanetScale
- Multimodal retrieval (text, images, video) for recommendation systemsnot PlanetScale
- Similarity-based product or content recommendationsnot PlanetScale
- Real-time vector indexing for streaming embedding datanot PlanetScale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PlanetScale
- EBS High Availability requires 3-node configuration with replication overhead
- EBS Non-HA single-node option lacks redundancy and automatic failover
- Pricing varies by cloud provider and region, requiring queries for specific rates
- ARM64 architecture only available on EBS tier, not Metal deployments
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
PlanetScale
$15/monthNo published plan breakdown. See the PlanetScale review.
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$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 PlanetScale if
- You need database branching.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Choose Qdrant if
- You want to start without paying.
- You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Questions people ask
- Is PlanetScale or Qdrant better?
- Neither clearly leads. PlanetScale starts at $15/month and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PlanetScale or Qdrant?
- Qdrant has a free tier; the other does not. Paid plans start at $15/month for PlanetScale and Free for Qdrant.
- Does PlanetScale or Qdrant run on more platforms?
- PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). 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. PlanetScale starts at $15/month.
- What is PlanetScale best used for?
- PlanetScale is most often used for mysql database hosting with automatic failover and replication, vitess-based sharding for horizontal scaling across large datasets, cloud provider flexibility across aws, gcp, azure with 60+ regions, cost-effective database clusters using arm64 architecture options. Of those, mysql database hosting with automatic failover and replication and vitess-based sharding for horizontal scaling across large datasets are not what Qdrant is typically brought in for.
- What can PlanetScale do that Qdrant cannot?
- PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.
Related pages
More on PlanetScale
Keep looking
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