MongoDB Atlas vs Qdrant
- ✦ Vector Search (Atlas Vector Search)
- ✦ Document Database (MongoDB)
- ✦ Full-Text Search (Lucene)
- ✦ Open Source (Apache 2.0)
- ✦ Written in Rust
- ✦ HNSW Index
MongoDB Atlas and Qdrant are both Vector Databases tools. MongoDB Atlas starts at $57/mo, Qdrant at $65/mo. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose MongoDB Atlas vs Qdrant
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Qdrant's HNSW indexes integrate payload filtering natively, executing filtered nearest-neighbor search without a post-filter scan step, maintaining sub-50ms latency on complex metadata filters.
Qdrant supports sparse vectors natively alongside dense vectors, enabling BM25 and embedding search in the same collection for hybrid retrieval without maintaining two separate indexes.
Qdrant's on-disk HNSW stores vectors on SSD while keeping only graph navigation data in RAM, serving collections larger than server memory at acceptable latency for cost-sensitive deployments.
Pricing Comparison & PlansHigh· Verified Jul 8, 2026
MongoDB Atlas Plans
Free tier available
Free
FreeBest for: M0 shared cluster
- ✓For learning and exploring MongoDB in a cloud environment
- ✓Automatic patching
- ✓Single-click upgrades
- ✓Access to all of MongoDB's core features
Dedicated
$57/moBest for: M10+ starting at $57/month
- ✓For production applications with sophisticated workload requirements
- ✓Fixed pricing for predictable workloads
- ✓High performance with WiredTiger storage engine
- ✓Automatic patching and single-click upgrades
- ✓Access to all of MongoDB's core features
Qdrant Plans
Free tier available
Open Source (Self-Hosted)
Open SourceBest for: Ideal for users who prefer full control and self management of their vector database
- ✓Apache 2.0 licensed
- ✓Full data sovereignty
- ✓Runs on your own infrastructure
- ✓Zero licensing cost at any scale
Free Tier
FreeBest for: Testing and prototypes
- ✓Single Node Cluster
- ✓Free Cloud Inference with selected models
- ✓Ideal for testing and prototypes
Standard
$65/moBest for: Production workloads + scaling
- ✓Production workloads
- ✓Dedicated clusters
- ✓Higher availability
- ✓Automated daily backups
- ✓Built-in monitoring and alerting
Capability Breakdown
3 differences found across 14 standardized features
- •Vector Search (Atlas Vector Search)
- •Document Database (MongoDB)
- •Full-Text Search (Lucene)
- •Hybrid Search (Vector + Text)
- •Charts & Analytics
- •Data API
- •Atlas Search
- •Triggers & Functions
- •Realm Sync
- •Global Clusters
- •ACID Transactions
- •Aggregation Pipeline
- •Change Streams
- •LangChain Integration
- •Time Series Collections
- •Multi-Cloud
- •Open Source (Apache 2.0)
- •Written in Rust
- •HNSW Index
- •Sparse Vectors (BM25-compatible)
- •Multi-vector Support
- •Payload Filtering
- •Full-Text Search
- •Named Vectors
- •Quantization (Scalar, Product, Binary)
- •Distributed Mode
- •Snapshot & Recovery
- •REST & gRPC APIs
- •Python/JS/Rust/Go SDKs
- •LangChain Integration
- •On-Premise + Cloud
- •Web UI Dashboard
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +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
- −I would say pricing is an area where MongoDB Atlas could improve.
- −There is nothing about MongoDB Atlas I would like to improve or any weak points at this time.
- −I am not an expert on what improvements could be made to MongoDB.
- −There is room for improvement in the cost of certain features like encryption.
- −From an improvement standpoint, MongoDB can improve security.
- +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
- −The area for improvement in Qdrant is its clustering capability.
At a Glance
Recent Price History
Qdrant removed the "Cloud Standard" plan
Plan removed · May 30, 2026
Qdrant removed the "Open Source" plan
Plan removed · May 30, 2026
Qdrant added a new "Free Tier" plan at $0/mo (Free)
Plan added · May 30, 2026
Qdrant added a new "Standard" plan at $65/mo
Plan added · May 30, 2026
Qdrant removed the "Enterprise" plan
Plan removed · May 30, 2026
Frequently Asked Questions
Related Comparisons
MongoDB AtlasFree · from $57/mo
QdrantFree · from $65/moSources & Data Trail · MongoDB Atlas
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 370 reviews
- 4.Capterra·Capterra verified reviews · 4.5/5
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Sources & Data Trail · Qdrant
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 12 reviews
- 4.PeerSpot·PeerSpot enterprise peer reviews