Comparison

LanceDB vs Zilliz Cloud

On the evidence we track, Zilliz Cloud leads this comparison with a composite score of 80/100. 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
LanceDB59
Zilliz Cloud80
Score
Vioscale score
LanceDB59 / 100low · 43%
Zilliz Cloud80 / 100medium · 73%
Pricing
Free tier
LanceDB
Zilliz Cloud
Model
LanceDBcommercial
Zilliz Cloudfreemium
Price level
LanceDB
Zilliz Cloudfree
Transparent
LanceDB
Zilliz Cloud
Integrations
Count
LanceDB15
Zilliz Cloud4
Security
Disclosure policy
LanceDB
Zilliz Cloud
Gdpr
LanceDB
Zilliz Cloud
Hipaa
LanceDB
Zilliz Cloud
Iso27001
LanceDB
Zilliz Cloud
Soc2
LanceDB
Zilliz Cloud
Reliability
Sla pct
LanceDB
Zilliz Cloud99.95
Status page
LanceDB
Zilliz Cloud
Adoption
Dependent repos
LanceDB453
Zilliz Cloud
Github stars
LanceDB11,284
Zilliz Cloud
Package downloads weekly
LanceDB1,350,674
Zilliz Cloud
Activity
Commits last 30d
LanceDB100
Zilliz Cloud
Release
History
LanceDB20 items
Zilliz Cloud
License
Spdx
LanceDBApache-2.0
Zilliz Cloud
Language
Primary
LanceDBRust
Zilliz Cloud

Capabilities

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

Deployment
Deployment
LanceDBSelf-hosted
Zilliz CloudManaged
Serverless / consumption pricing
LanceDB-
Zilliz Cloud
Index
ANN index (HNSW / IVF / DiskANN / ScaNN / flat)
LanceDB-
Zilliz Cloud-
Distance metrics (cosine / dot / Euclidean)
LanceDB-
Zilliz Cloud-
Query
Metadata filtering
LanceDBPost-filter
Zilliz CloudPost-filter
Hybrid search (dense + sparse fusion)
LanceDB
Zilliz Cloud
Built-in BM25 / lexical
LanceDB
Zilliz Cloud
Storage
Quantization
LanceDB-
Zilliz Cloud-
On-disk vs in-memory
LanceDBDisk-backed
Zilliz CloudTiered
Scale
Multi-tenancy (namespaces / collections / tenants)
LanceDB
Zilliz Cloud
Horizontal scale
LanceDBSharded / distributed
Zilliz CloudSharded / distributed
Consistency
Consistency
LanceDB-
Zilliz Cloud-
Licensing
Licence class
LanceDBPermissive OSS
Zilliz CloudProprietary
Classification
Purpose-built vs feature-of-parent
LanceDBDedicated DBMS
Zilliz CloudDedicated DBMS

What each one is

The product in its own terms, so the numbers below have context.

LanceDB

A purpose-built lakehouse designed for AI applications that unifies storage, indexing, and retrieval of multimodal data (text, images, videos, and more) at petabyte scale. Enables fast vector search, metadata filtering, and feature engineering workflows for machine learning workloads without data synchronization overhead.

Independently observed

Zilliz Cloud

Leader

Fully managed Vector Lakebase services designed for high reliability, performance, and cost efficiency at scale. Purpose-built for real-time serving, iterative discovery, and batch analytics at billion-scale.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

LanceDB

Pricing not documented yet.

Zilliz Cloud

Leader
from $0/moSubscriptionFree tier30-day trial

Free tier available. Paid plans start from $197/month (Enterprise Dedicated) or usage-based pricing ($126/GB for Standard Dedicated).

  • FreeFree
    • Vector search
    • Up to 5 collections
  • StandardFrom $0/month (Serverless) or from $126/GB/month (Dedicated)
    • Fully managed vector databases with core APIs
    • Backup and restore
    • Basic monitoring
    • Data encryption in transit and at rest
  • EnterpriseFrom $197/month (Dedicated)
    • 99.95% uptime SLA
    • Audit logs
    • SSO (SAML 2.0)
    • Granular RBAC
    • Multi-replica and elastic scaling
    • +1 more
  • Business CriticalContact sales
    • Global cluster with high-level availability
    • Disaster recovery
    • CMEK and full-path in-transit encryption
    • HIPAA-eligible
    • Rapid incident response
  • BYOCContact sales
    • Deploy on your infrastructure of choice
    • High-level control and security
    • Same features and experience as SaaS Dedicated clusters
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
LanceDB
Zilliz Cloud
CLI
LanceDB
Zilliz Cloud
Deployment
Cloud / SaaS
LanceDB
Zilliz Cloud
Self-hosted
LanceDB
Zilliz Cloud

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • LangChain

LanceDB

15 total - 14 not shared
  • LlamaIndex
  • DuckDB
  • Apache Arrow
  • Pandas
  • Polars
  • CrewAI
  • Hugging Face
  • Apache Fluss
  • Ray
  • Volcano Engine
  • Voxel51
  • Continue
  • OpenClaw
  • LeRobot
Independently observed

Zilliz Cloud

Leader
4 total - 3 not shared
  • AWS
  • Google Cloud
  • Azure
Independently observed

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