Updated May 13, 2026 · Independent Analysis
Only in MongoDB Atlas
- ✦ Vector Search (Atlas Vector Search)
- ✦ Document Database (MongoDB)
- ✦ Full-Text Search (Lucene)
✓ Free planFrom $57/mo500k+ users · est. 2007
Only in Qdrant
- ✦ Open Source (Apache 2.0)
- ✦ Written in Rust
- ✦ HNSW Index
✓ Free plan3k+ users · est. 2021
Pricing Intelligence

MongoDB Atlas Plans
Free tier available
- • 512MB storage
- • Shared cluster
- • Vector search included
- • $0.10/1M reads
- • Auto-scale
- • No capacity planning
DedicatedBest Value
$57/mo- • M10 cluster
- • Dedicated resources
- • Backup & HA
Full MongoDB Atlas Pricing Breakdown →
Qdrant Plans
Free tier available
- • Full features
- • Apache 2.0
- • Docker deployment
- • From $0.014/hr
- • Managed clusters
- • Free tier available
- • Private cloud
- • SSO
- • Dedicated support
Full Qdrant Pricing Breakdown →Feature Matrix
2 differences found across 10 standardized features
Feature
MongoDB Atlas
Qdrant
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
Pros
- +Unified operational + vector database eliminates extra infrastructure
- +500k+ developers already familiar with MongoDB
- +Strong free tier and serverless option
- +Hybrid search combines vectors with full-text Lucene
Cons
- −Vector search performance trails purpose-built solutions
- −Managed-cloud only — no self-hosted Atlas
Pros
- +Top benchmark performance via Rust and quantization
- +Named vectors enable multimodal and complex search patterns
- +Binary quantization reduces memory 32x
- +Excellent documentation and developer experience
Cons
- −Smaller managed cloud ecosystem than Pinecone
- −Newer company — fewer enterprise customer references
At a Glance
Starting Price$57/movsPay-per-use
Feature Count16 featuresvs16 features
Frequently Asked Questions
Authored by Oleh Kem·Reviewed by Oleh KemExpert verified·Updated May 13, 2026·Our methodology