Best Vector Databases · head-to-head
MongoDB Atlas Vector Search vs Qdrant Cloud
A sourced, side-by-side comparison for vector databases. MongoDB Atlas Vector Search has the lower entry price. Every figure links to the vendor's own page and the date we captured it.
At a glance
- Price: MongoDB Atlas Vector Search $0/mo vs Qdrant Cloud $0/mo — MongoDB Atlas Vector Search is cheaper to start.
- Free tier: MongoDB Atlas Vector Search Yes; Qdrant Cloud Yes.
- HIPAA: MongoDB Atlas Vector Search Yes; Qdrant Cloud Yes.
Side by side
| MongoDB Atlas Vector Search | Qdrant Cloud | |
|---|---|---|
| Entry price | $0/mo (M0 Free) | $0/mo (Free) |
| Free tier | Yes | Yes |
| HIPAA (BAA) | Yes | Yes |
| SOC 2 | Yes | Yes |
| GDPR | Yes | Yes |
| Best for | Teams already on MongoDB Atlas wanting vector search without a separate DB | High-performance production workloads requiring low-latency ANN search |
Sources — MongoDB Atlas Vector Search: mongodb.com (verified 2026-06-14). Qdrant Cloud: qdrant.tech (verified 2026-06-14).
Key features
MongoDB Atlas Vector Search: Unified operational + vector data in one platform — no sync required; Auto-generates and syncs vector embeddings via Voyage AI integration; Hybrid queries combining vector search with SQL-style filters, geo, aggregation, and graph lookups; Dedicated Search Nodes for workload isolation (HNSW and ENN algorithms); FedRAMP Moderate authorized (Atlas for Government); FIPS 140-2 encryption
Qdrant Cloud: Rust-native vector engine with built-in scalar and binary quantization; Sparse vector support (SPLADE) for hybrid dense+sparse search; Zero-downtime upgrades and horizontal scaling; 40+ framework integrations (LangChain, LlamaIndex, CrewAI, AutoGen, etc.); Hybrid Cloud and Private Cloud deployment options