Zilliz Cloud vs Weaviate

- ✦ Distributed Architecture
- ✦ Billion-Scale Vectors
- ✦ ANNS Algorithms (HNSW, IVF, DiskANN)

- ✦ Hybrid Search (BM25 + Vector)
- ✦ Multimodal Support
- ✦ GraphQL API
Zilliz Cloud and Weaviate are both Vector Databases tools. Zilliz Cloud starts at $126/mo, Weaviate at $45/mo. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Zilliz Cloud vs Weaviate
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Milvus scales to trillions of vectors using hierarchical index structures with tiered storage, serving billion-scale collections that exceed single-machine memory limits via Zilliz Cloud managed deployment.
Weaviate's structured schema enforces data types on vector objects, enabling filtered vector search that combines nearest neighbor with exact property matches and reducing false positives in metadata-sensitive retrieval.
Milvus GPU indexing builds IVFPQ indexes on billion-vector collections 10x faster than CPU-only builds, reducing the time from ingestion to searchable index for large-scale embedding pipelines.
Weaviate's multi2vec module indexes text and image objects in the same collection, enabling cross-modal search where a text query returns images and vice versa without separate pipelines.
Milvus partitions split a collection by tenant key, improving query isolation and allowing partition-level operations like load/release to balance memory usage across a shared cluster.
Weaviate's Generative Search module passes retrieved objects directly to an LLM within the same query, cutting latency by eliminating a separate LLM API call for RAG retrieval-generation pipelines.
Pricing Comparison & PlansHigh· Verified Jul 8, 2026
Free
FreeBest for: Learning & personal projects
- ✓5 GB storage
- ✓2.5M vCUs/mo included
- ✓Up to 5 collections
- ✓Serverless
Standard (Dedicated)
from $126/GB/moBest for: Prototypes & testing (non-critical)
- ✓From $0/mo serverless OR $126/GB-mo dedicated
- ✓Fully managed core APIs
- ✓Backup & restore
- ✓Basic monitoring
- ✓Encryption in transit + at rest
Enterprise (Dedicated)
from $197/moBest for: Production applications
- ✓99.95% uptime SLA
- ✓Audit logs
- ✓SSO (SAML 2.0)
- ✓Granular RBAC
- ✓Multi-replica + elastic scaling
Business Critical
Contact SalesBest for: Healthcare / finance / regulated mission-critical
- ✓Global cluster HA + DR
- ✓CMEK + full-path encryption
- ✓HIPAA-eligible
- ✓Priority support
Open-Source
Open SourceBest for: Good for self-hosting and full control over your vector database
- ✓Full feature access
- ✓Control over infrastructure
- ✓Self-hosted deployment
- ✓BSD-3 license
Sandbox
FreeBest for: Ideal for testing and development without commitment
- ✓Managed cloud
- ✓Learning and prototyping
- ✓2,000 requests/day limit
- ✓14-day trial
Flex
$45/moBest for: Prototypes, pilots, small use cases
- ✓Entry-level managed tier
- ✓Shared multi-tenant infrastructure
- ✓Pay-as-you-go pricing
- ✓99.5% SLA
- ✓Self-service scaling
Capability Breakdown
5 differences found across 14 standardized features
- •Open Source (Apache 2.0)
- •Distributed Architecture
- •Billion-Scale Vectors
- •ANNS Algorithms (HNSW, IVF, DiskANN)
- •Hybrid Search
- •GPU Acceleration
- •Multi-vector Search
- •Sparse Vector Support
- •Metadata Filtering
- •Data Partitioning
- •Incremental Indexing
- •Python/Java/Go SDKs
- •Kubernetes Native
- •LangChain Integration
- •Time Travel (data versioning)
- •RBAC
- •Open Source (Apache 2.0)
- •Hybrid Search (BM25 + Vector)
- •Multimodal Support
- •GraphQL API
- •REST API
- •gRPC API
- •Built-in Vectorizers (OpenAI, Cohere, etc.)
- •Generative Search
- •Multi-tenancy
- •Modules Architecture
- •Kubernetes Deployment
- •Schema Management
- •Batch Import
- •Cross-References (Graph)
- •Python/JS/Go SDKs
- •LangChain Integration
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +CNCF project: battle-tested for billion-scale workloads
- +GPU acceleration and DiskANN for cost-efficient large-scale search
- +Distributed architecture with independent storage/compute scaling
- +Multi-vector search supports complex AI use cases
- −Operational complexity: requires Kubernetes expertise for self-hosted
- −Overkill for small-scale RAG applications
- +Open source with managed cloud option gives deployment flexibility
- +Built-in vectorizers reduce pipeline complexity
- +Knowledge graph cross-references unique in category
- +Active community and excellent documentation
- −GraphQL API has steeper learning curve
- −Performance benchmarks trail Qdrant at very high scale
At a Glance
Recent Price History
Zilliz Cloud added a new "Standard (Dedicated)" plan at $126/GB/mo
Plan added · Jul 6, 2026
Zilliz Cloud added a new "Enterprise (Dedicated)" plan at $197/mo
Plan added · Jul 6, 2026
Zilliz Cloud added a new "On-demand Compute" plan (Custom pricing)
Plan added · Jul 6, 2026
Zilliz Cloud removed the "Serverless" plan
Plan removed · Jul 6, 2026
Zilliz Cloud removed the "Dedicated Business Critical" plan
Plan removed · Jul 6, 2026
Frequently Asked Questions
Related Comparisons
Sources & Data Trail · Zilliz Cloud
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.4/5 · 53 reviews
Sources & Data Trail · Weaviate
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.6/5 · 29 reviews
- 4.TrustRadius·TrustRadius verified reviews
- 5.PeerSpot·PeerSpot enterprise peer reviews
