Databases · head to head
PlanetScale vs Qdrant

Qdrant
Databases
High-performance vector database for similarity search and embedding-based retrieval
- From
- Free
- Rated
- -
The short version
- Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PlanetScale and Qdrant actually diverge.
| Attribute | PlanetScale | Qdrant |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming) |
| Founded | 2018 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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-compatible applications requiring horizontal scalingnot Qdrant
- PostgreSQL deployments with custom cluster configurationsnot Qdrant
- Multi-region database deployments on AWS or GCPnot Qdrant
- Applications requiring transparent sharding via Vitessnot 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
- Pricing varies significantly across 17+ AWS and GCP regions
- Additional costs for EBS storage beyond base tier, backup storage, and egress
- Dedicated PgBouncer and replicas incur separate charges
- Metal tier pricing increases sharply with larger configurations
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
Free- Postgres EBS Single-Node (ARM64 PS-5)$5/month
- 512 MiB RAM
- Single-node configuration
- EBS storage included
- Postgres EBS HA (ARM64 PS-5)$15/month
- 512 MiB RAM
- 3-node high-availability setup
- 1 primary + 2 replicas
- Postgres Metal (M-10)$50/month
- 1/8 vCPU, 1 GiB RAM
- 3-node HA configuration
- 10 GiB NVMe storage included
- Vitess Non-Metal 3-Node$39/month
- Sharding-capable database
- x86-64 architecture
- 3-node configuration
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$undefined/usage-based
- Dedicated resources
- Flexible scaling
- High availability
- Premium$undefined/minimum spend
- SSO and SAML
- Private VPC links
- 99.9% uptime SLA
Which should you pick?
Choose PlanetScale if
- You need database branching.
- You want to start without paying.
- 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 Free 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?
- PlanetScale starts at Free and Qdrant at Free.
- 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 PlanetScale for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PlanetScale best used for?
- PlanetScale is most often used for mysql-compatible applications requiring horizontal scaling, postgresql deployments with custom cluster configurations, multi-region database deployments on aws or gcp, applications requiring transparent sharding via vitess. Of those, mysql-compatible applications requiring horizontal scaling and postgresql deployments with custom cluster configurations 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.
Answered from the vendors’ own pages
PlanetScale: How much does a PlanetScale Postgres database cost per month?
PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.
SourceQdrant: Can I use Qdrant for free?
Yes, Qdrant offers a free tier that provides a single node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk space. It includes free cloud inference with selected models and is described as free forever for testing and prototypes.
SourcePlanetScale: Is there a free tier for PlanetScale?
PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.
SourceQdrant: How is Qdrant Cloud billing calculated?
Billing is calculated based on actual resource usage during each billing period. You are charged hourly for compute (vCPU), memory (GB), storage (GB), backups, and any paid inference tokens used.
SourcePlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?
ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.
SourceQdrant: What happens if I scale beyond the free tier?
The Standard Tier uses the same usage-based billing model as the free tier but adds features like dedicated resources with flexible scaling, highly available setups with backup and disaster recovery, and a 99.5% uptime SLA.
SourcePlanetScale: What is included in a PlanetScale cluster price versus additional costs?
The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.
SourceQdrant: What SLA does Qdrant offer?
The Standard Tier provides 99.5% uptime SLA. The Premium Tier, which requires a minimum spend for enterprises, offers 99.9% uptime SLA along with single sign-on and private VPC links.
SourceQdrant: Are there dedicated cloud infrastructure options?
Yes, Qdrant offers Hybrid Cloud (runs on your infrastructure) and Private Cloud (complete isolation) options, both with custom pricing that requires contacting the sales team.
SourceRelated pages
More on PlanetScale
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- Qdrant vs BigQuery
- Qdrant vs MotherDuck
- Qdrant vs FaunaDB
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- Qdrant vs Marqo
- Qdrant vs DynamoDB
- Qdrant vs Zilliz
- Qdrant vs Chroma
- Qdrant vs Vespa
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- Qdrant vs Apache Druid
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