Cheapest Vector Database 2026: Ranked by Real Cost
Not all vector databases are priced the same — and the price difference between the cheapest and most expensive option at 10M vectors can be 10× or more. This ranking is based on real monthly costs at three production scales, not marketing page headlines.
TL;DR — Cheapest at Each Scale
| Scale | Cheapest Managed | Cheapest Overall | Cost |
|---|---|---|---|
| Under 100K vectors | Qdrant Cloud free tier | Chroma (self-hosted) | $0 |
| 1M vectors | Qdrant Cloud | Self-hosted Qdrant (VPS) | $6–14/mo |
| 10M vectors | Supabase pgvector | Self-hosted Qdrant (VPS) | $50–90/mo |
| 100M vectors | Weaviate Cloud | Self-hosted Qdrant (dedicated) | $400–600/mo |
🗄️ Calculate Your Exact Vector DB Cost
Enter your vector count, dimensions, and query volume — get a real monthly cost for every major provider side by side.
Open Vector DB Calculator →Full Ranking: Cheapest to Most Expensive
Assumptions: 1536-dimension vectors (OpenAI text-embedding-3-small), 100K queries/month at 1M scale, June 2026 published pricing.
Self-Hosted Qdrant CHEAPEST
Qdrant is Apache 2.0 open source. Running it on a Hetzner CX22 (€3.29/mo) handles 500K–1M vectors. A CX32 (€5.89/mo) handles 5M+ vectors. You pay nothing per query, nothing per vector — only the server cost. The catch: you manage infrastructure, backups, and uptime yourself.
Chroma (Self-Hosted)
Chroma is fully open source and the default vector store for LangChain and many RAG tutorials. Best for development and small production workloads. No cloud managed offering yet — fully self-hosted only. Less feature-rich than Qdrant at scale but extremely simple to start.
Qdrant Cloud (Managed) FREE TIER
The managed version of Qdrant. Free tier gives you 1 cluster with 1GB RAM — enough for ~100K vectors at 1536 dims. Paid tiers are typically 40–60% cheaper than Pinecone equivalent tiers. No per-query fees — you pay for cluster size, not usage.
Supabase pgvector
If you already use Supabase, pgvector adds vector search to your existing PostgreSQL instance at zero additional infrastructure cost. The $25/mo Pro plan includes 8GB database storage. For teams already on Supabase, this is effectively the cheapest path to vector search for 1M+ vectors.
Weaviate Cloud
Weaviate's cloud offering has a free sandbox tier (no SLA, shared infrastructure). Paid plans include compute, storage, and queries in a cluster price — no per-query fees at standard tiers. At 10M vectors, Weaviate Cloud is typically 30–40% cheaper than Pinecone Serverless.
Pinecone Serverless
Pinecone is the most mature managed vector DB with the best tooling, documentation, and integrations. The free Starter tier (1 index, 100K vectors) is generous for prototyping. However, at 1M+ vectors, Pinecone's per-read-unit pricing makes it 2–5× more expensive than Qdrant Cloud or self-hosted alternatives.
Cost Comparison at 1M Vectors
| Provider | Monthly Cost | Per-query fee? | Open source? |
|---|---|---|---|
| Self-Hosted Qdrant (Hetzner CX32)CHEAPEST | ~$7/mo | No | ✅ Apache 2.0 |
| Qdrant Cloud | ~$14/mo | No | ✅ |
| Supabase pgvector (Pro) | ~$25/mo | No | ✅ |
| Weaviate Cloud | ~$30/mo | No | ✅ |
| Pinecone Serverless | ~$22/mo | Yes ($16/M reads) | ❌ |
What Actually Makes a Vector Database "Cheap"?
There are three cost components that vary dramatically between providers:
- Storage cost: Pinecone charges $0.33/GB/month for stored vectors. Qdrant Cloud includes storage in the cluster price. Self-hosted: you pay whatever your VPS disk costs (~$0.05/GB at Hetzner).
- Query cost: Pinecone charges $16/million Read Units. Most alternatives include queries in the cluster/plan price — no per-query fees.
- Infrastructure cost: Managed services handle ops but mark up the underlying infra 3–10×. Self-hosted on a VPS is raw compute cost.
The biggest cost lever for most teams is eliminating per-query fees. A production system doing 10M queries/month pays $160 in read units alone on Pinecone Serverless — $0 on Qdrant Cloud or Weaviate at the same cluster tier.
When to Pay for Pinecone (Or Not)
Pay for Pinecone when: You need managed infrastructure with minimal ops burden, your team has no DevOps capacity, you expect 100M+ vectors with high QPS, or you need enterprise SLAs and support contracts.
Choose an alternative when: Your vector count is under 50M, you have someone who can manage a containerized service, or you're already paying for Supabase.
Use our vector database cost calculator to compare all providers at your specific vector count and query volume — the difference is often 3–10× at production scale.
📊 See Exact Costs for Your Scale
Enter your vector count and query volume — instant side-by-side comparison of all major vector databases.
Calculate My Cost →