Milvus vs Qdrant

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Milvus

Milvus

Developer Tool

68/100
Try with caution
Pick it if you are:
Teams with billions of vectors; Teams with Kubernetes and ops skills
Top complaint:
Milvus query node runs out of memory when loading large collections
Price:
Free plan, paid from $126/mo
9 Milvus errors & fixes →
Qdrant

Qdrant

Saas

78/100
Try
Pick it if you are:
Performance-focused AI teams; Budget-conscious startups
Top complaint:
Steep learning curve for vector DB newcomers
Price:
Free plan
8 Qdrant errors & fixes →

Score Comparison

68
Overall
78
70
Pricing
90
60
Usability
70
85
Performance
90
60
Support
75
65
Reliability
70
55
Onboarding
70
–
Security
75
80
Integrations
75
MilvusQdrant

Signals Comparison

Performance

Milvus

  • Milvus query node runs out of memory when loading large collections(8/10)
  • Slow search after restart, scaling or heavy filters(7/10)
  • Free Zilliz Cloud cluster first query times out(4/10)

Qdrant

  • Slow startup with large collections(6/10)
  • gRPC slower than REST with payloads(5/10)
  • Initial ingestion hiccups at large scale(5/10)
Usability

Milvus

  • Search fails with 'collection not loaded' until you index and load(6/10)
  • Vector dimension mismatch errors when switching embedding model(6/10)
  • Freshly inserted data does not show up in search(5/10)
  • Concurrent bulk inserts hit 'DataNode resource not enough'(5/10)

Qdrant

  • UI is limited - no bulk operations(5/10)
  • No built-in visualization capabilities(4/10)
  • UI randomly stuck on loading(4/10)
Onboarding

Milvus

  • Index not exist error after creating a collection(5/10)
  • Cluster mode is heavy to run yourself(7/10)

Qdrant

  • Steep learning curve for vector DB newcomers(5/10)
Reliability

Milvus

  • Connection refused or timeout on localhost:19530(6/10)
  • etcd and MinIO dependencies cause startup crashes(8/10)

Qdrant

  • Startup panic errors after version upgrades(7/10)
  • Instance corruption after container restarts(8/10)
  • Server stops responding under normal load(6/10)
Pricing

Milvus

  • Zilliz Cloud Dedicated starts at $126/month and scales with vectors(6/10)

Qdrant

No signals

Support

Milvus

  • Many production questions stay open on GitHub(5/10)

Qdrant

No signals

Pricing Comparison

Milvus

Self-hosted (open source)
Free

Users: Unlimited

Storage: Your own disk

Limits: No managed backups or SLA; community support

You pay for servers: 8-16 GB RAM for standalone, 32-128 GB for cluster, plus etcd and object storage and your own ops time.
Zilliz Cloud Free
Free

Users: Not stated

Storage: 5 GB

Limits: 5 GB storage, 5 collections, community support only

Heavier use needs a paid plan.
Zilliz Cloud Standard (Serverless)
Popular
$0.00/mo

Limits: Standard tier; no 99.95% SLA

vCU usage varies with reads and writes.
Zilliz Cloud Standard (Dedicated)
$126.00/mo

Limits: Price depends on cluster and storage tier

Per million vector rates scale with tier (about $5 to $63 per million 768-dim vectors per month).
Zilliz Cloud Enterprise (Dedicated)
$197.00/mo
Cost rises with cluster size.
Business Critical / BYOC
Free
No published price.

Qdrant

Self-Hosted (Open Source)
Free

Users: Unlimited

Storage: Limited by your infrastructure

Limits: No managed hosting, manual operations, community-only support

You pay for infrastructure. High performance requires decent compute. No SLA or enterprise support.
Cloud Free Tier
Free

Users: Unlimited

Storage: 4 GB disk, 1 GB RAM, 0.5 vCPU

Limits: 1 GB RAM / 0.5 vCPU / 4 GB disk, single node, limited regions and providers, no dedicated resources

Unused free clusters are suspended after 1 week and deleted after 4 weeks of inactivity. No high availability; version upgrades cause downtime.
Cloud Pay-as-You-Go
Free

Users: Unlimited

Storage: Pay per usage

Limits: Standard SLA only (99.5%), premium tier for 99.9%

Pricing based on RAM, CPU, storage. Use calculator. Costs scale with resources allocated.
Cloud Premium
Free

Users: Unlimited

Storage: Custom

Limits: Requires a minimum spend

Premium pricing on top of standard usage. Contact sales for exact pricing.

Feature Comparison

FeatureMilvusQdrant
Core
Dense vector search
Sparse vector search

SPARSE_INVERTED_INDEX

Binary vectors
core
Vector Similarity Search
Payload Filtering
Hybrid Search
Index
HNSW index
IVF_PQ index
DiskANN / disk-based index

Mentioned for data larger than RAM

performance
Scalar Quantization
Binary Quantization
reliability
Distributed Mode
Snapshot & Backup
Usability
Auto-indexing on create

Index must be created before load

security
Multi-tenancy
Deployment
Managed cloud

Zilliz Cloud

Embedded local mode

Milvus Lite (no Windows wheel per third-party guide)

integration
REST & gRPC APIs
ai
Cloud Inference

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Milvus vs Qdrant 2026 - Problems & Comparison | Try or Bye