Head to head
Qdrant Cloud vs Zilliz Cloud (Milvus)
As a vector database API, Zilliz Cloud (Milvus) rates higher on the APIbenchmarks Index, 85.4 to 82.1, a 3.3-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Qdrant Cloud | Zilliz Cloud (Milvus) |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 82.1 | 85.4 |
Specifications
| Qdrant Cloud | Zilliz Cloud (Milvus) | |
|---|---|---|
| Best for | High-performance open-source vector engine | Managed Milvus at billion-vector scale |
| Free tier | 1GB RAM / 4GB disk cluster (~1M vectors), no card | 5GB storage + compute credits, permanent free tier |
| Pricing | Resource-based (vCPU/RAM/disk) | Per compute-unit-hour + storage |
| Official SDKs | 8 languages | 9 languages |
Is Qdrant Cloud better than Zilliz Cloud (Milvus)?
On the APIbenchmarks Index, Zilliz Cloud (Milvus) rates higher (85.4 vs 82.1). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.
Verdict in one line
Zilliz Cloud (Milvus) leads by 3.3 points (85.4 vs 82.1) and wins 2 of 4 criteria; Qdrant Cloud wins 1.
Winner by criterion
| Criterion | Winner | ||
|---|---|---|---|
| Documentation & DX | 82 | 82 | Tie |
| Reliability | 78 | 88 | |
| Ecosystem & SDKs | 80 | 85 | |
| Accessibility | 90 | 88 |
Choose Qdrant Cloud if… / choose Zilliz Cloud (Milvus) if…
- →accessibility matters most to you (90 vs 88)
- →your use case matches its focus: high-performance open-source vector engine
- →reliability matters most to you (88 vs 78)
- →ecosystem & sdks matters most to you (85 vs 80)
- →you need broad SDK coverage (9 official SDKs vs 8)
- →your use case matches its focus: managed milvus at billion-vector scale
Pricing side by side
- Model
- Resource-based (vCPU/RAM/disk)
- Free tier
- 1GB RAM / 4GB disk cluster (~1M vectors), no card
- Free Tier$0 (free forever)
- Standard (Managed Cloud)Usage-based (resource billing for vCPU/RAM/disk)
- PremiumCustom / minimum spend required
- Hybrid CloudCustom (pricing on request)
- Private CloudCustom (pricing on request)
- Model
- Per compute-unit-hour + storage
- Free tier
- 5GB storage + compute credits, permanent free tier
- Free (Serverless)$0/month
- ServerlessPay-as-you-go (from ~$0.35/M vCU)
- DedicatedFrom ~$99/month (compute + storage)
- Business Critical (BC)Custom
- BYOC (Bring Your Own Cloud)Custom
Vendor-published pricing, verified 2026-06-27 (Qdrant Cloud) and 2026-06-27 (Zilliz Cloud (Milvus)).
SDK and language coverage
Both · 5
Python (qdrant-client)Rust (qdrant-client)Go (go-client)Java (java-client)gRPC API
Only Qdrant Cloud · 3
JavaScript/TypeScript (@qdrant/js-client-rest).NET / C# (Qdrant.Client)REST API
Only Zilliz Cloud (Milvus) · 4
Node.js / JavaScriptC# (.NET, contributed by Microsoft)C++RESTful API
Strengths and weaknesses
- +Among the fastest open-source vector engines, Rust core delivers highest RPS and lowest latency in benchmarks vs Weaviate, Milvus, Elasticsearch and Redis
- +Predictable resource-based pricing (pay for vCPU/RAM/disk, not per query), which stays flat regardless of search volume
- +Generous always-free 1GB managed tier with no credit card required
- –Weak built-in vector visualization / observability, the most consistently cited limitation across reviews
- –Learning curve is steep for teams new to vector databases
- –Free clusters are terminated after a period of inactivity (e.g., ~a week unused)
- +Top-tier benchmark performance: Milvus 2.6 delivers ~4x throughput and 72% memory reduction via RaBitQ quantization while holding ~95% recall, and 3-7x higher QPS than Elasticsearch on full-text workloads
- +Scales to billions of vectors; reviewers report searching millions of vectors in ~200ms
- +Removes the heavy operational burden of self-hosting distributed Milvus (Kubernetes, monitoring, backups, HA)
- –Cost is the most cited complaint, managed pricing can be far more expensive than self-hosting Milvus on a cheap VPS for small/hobby projects
- –vCU / CU-hour + tiered-storage billing model can be hard to forecast and reason about
- –Underlying Milvus has a steep learning curve, especially for distributed/self-hosted setups
Qdrant Cloud vs Zilliz Cloud (Milvus): questions
- Which has better documentation, Qdrant Cloud or Zilliz Cloud (Milvus)?
- Qdrant Cloud and Zilliz Cloud (Milvus) score the same on documentation and developer experience (82).
- Which is more reliable, Qdrant Cloud or Zilliz Cloud (Milvus)?
- Zilliz Cloud (Milvus) scores higher on reliability: 88 vs 78 out of 100.
- Do Qdrant Cloud and Zilliz Cloud (Milvus) have a free tier?
- Qdrant Cloud: yes (1GB RAM / 4GB disk cluster (~1M vectors), no card). Zilliz Cloud (Milvus): yes (5GB storage + compute credits, permanent free tier).
- How are Qdrant Cloud and Zilliz Cloud (Milvus) priced?
- Qdrant Cloud: Resource-based (vCPU/RAM/disk). Zilliz Cloud (Milvus): Per compute-unit-hour + storage.
- Which has more official SDKs?
- Zilliz Cloud (Milvus) lists 9 official SDKs, Qdrant Cloud lists 8.
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