Comparison

Milvus vs Weaviate

On the evidence we track, Weaviate leads this comparison with a composite score of 69/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Attribute comparison across 2 tools
Attribute68Milvus69WeaviateLeader
Vioscale score68 / 100low · 25%69 / 100low · 43%
Commits last 30d100100
Github stars45,44016,677
Options{"cloud":true,"hybrid":true,"self_hosted":true}{"cloud":true,"hybrid":true,"self_hosted":true}
LongMilvus is an open-source vector database built for GenAI applications, enabling high-speed similarity search and scaling to tens of billions of vectors with minimal performance loss.Open-source vector database for storing and searching high-dimensional vectors, with built-in embeddings, RAG, and AI agent query capabilities.
Capabilities{"deployment":"self_hosted","serverless":true,"storage_tier":"disk_backed","hybrid_search":true,"licence_class":"permissive_oss","product_class":"dedicated_dbms","horizontal_scale":"sharded_distributed"}{"deployment":"self_hosted","serverless":true,"hybrid_search":true,"licence_class":"permissive_oss","multi_tenancy":true,"product_class":"dedicated_dbms","horizontal_scale":"sharded_distributed"}
PrimaryGoGo
SpdxApache-2.0BSD-3-Clause
Availability-{"hqCountry":"NL","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}
Support{"mac":true,"linux":true,"windows":true}{"cli":true,"web":true}
Pricing{"type":"open_source","summary":"Open-source with optional managed Zilliz Cloud (serverless and dedicated cluster; free trial available)","freeTier":true,"sourceUrl":"https://milvus.io","retrievedAt":"2026-08-05T13:26:39.808Z"}{"type":"hybrid","freeTier":true,"sourceUrl":"https://weaviate.io","retrievedAt":"2026-08-05T13:28:29.566Z"}
Free tierYesYes
Modelopen_sourcefreemium
Price levelfreelow
TransparentYesNo
Cadence days51
Sla pct-99.95
Status page-Yes
Disclosure policy-Yes
Gdpr-Yes
Hipaa-Yes
Soc2-Yes

Capabilities

Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.

Capability comparison for Vector Databases
CapabilityMilvusWeaviate
Deployment
DeploymentSelf-hostedSelf-hosted
Serverless / consumption pricing
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)--
Distance metrics (cosine / dot / Euclidean)--
Query
Metadata filtering--
Hybrid search (dense + sparse fusion)
Built-in BM25 / lexical--
Storage
Quantization--
On-disk vs in-memoryDisk-backed-
Scale
Multi-tenancy (namespaces / collections / tenants)-
Horizontal scaleSharded / distributedSharded / distributed
Consistency
Consistency--
Licensing
Licence classPermissive OSSPermissive OSS
Classification
Purpose-built vs feature-of-parentDedicated DBMSDedicated DBMS

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.