Pinecone vs Qdrant
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Pinecone
Serverless vector database with pay-per-use pricing
Visit
|
Qdrant
Rust vector search engine built for filtering-heavy AI workloads
Visit
|
|
|---|---|---|
| RECATOOLS Score | 8.1 / 10 | 8.7 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | Starter: free, up to 5 serverless indexes, AWS us-east-1 only | Free forever cluster: 1 node, 0.5 vCPU, 1GB RAM, 4GB disk (~1M 768-dim vectors per docs), no card; suspended after 1 week idle. Self-hosted engine free (Apache-2.0) |
| Paid from | From $20/mo (Builder, flat); Standard $50/mo minimum usage; Enterprise $500/mo minimum usage | Standard: usage-based, billed hourly on vCPU, RAM, disk and backups |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2019 | 2021 |
| Maker | — | Independent (Qdrant Solutions GmbH) |
| Verdict | Pinecone remains the reference point for managed vector databases: serverless architecture that auto-scales without index-sizing decisions, low-latency queries, and SDKs across Python, TypeScript, Java and Go that make i... |
Qdrant is one of the strongest open-source vector databases, especially where search has to be combined with complex filters, and its free cloud cluster and permissive licence make it easy to start. Its performance claim... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.