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.
Capabilities
Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LanceDB
A specialized lakehouse platform designed to store and query text, images, and vector data together, enabling high-performance vector search for real-time and historical multimodal AI workloads.
Zilliz Cloud
LeaderZilliz Cloud is a managed cloud service built on the open-source Milvus vector database. It handles storage, indexing, and similarity search at scale for unstructured data, supporting vector search, full-text search, and hybrid retrieval for AI and machine learning workloads.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Zilliz Cloud
LeaderFree tier with 5 GB storage. Serverless pricing from $0/month pay-per-query. Dedicated clusters from $197/month. Annual commitments available.
- FreeFree
- Community support via Slack
- Vector search
- Filtered search
- Range search
- ServerlessPay-per-query pricing, system-managed auto-scaling
- Fully managed vector databases
- Backup and restore
- Basic monitoring
- Built-in encryption for data in transit and at rest
- Vector search
- +2 more
- DedicatedFrom $197/month base, plus $0.126/GB storage, dedicated infrastructure
- 99.95% uptime SLA
- SSO (SAML 2.0)
- Granular RBAC
- Multi-replica and elastic scaling
- Global cluster with disaster recovery
- +9 more
- BYOCContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LangChain
LanceDB
- LlamaIndex
- DuckDB
- Apache Arrow
- Pandas
- Polars
- CrewAI
- Hugging Face
- Apache Fluss
- Ray
- Volcano Engine
- Voxel51
- Continue
- OpenClaw
- LeRobot
- Fluss
- Apache Flink
- MemGPT
- OpenSearch
- Flight SQL
Zilliz Cloud
Leader- AWS
- Google Cloud
- Azure
- Fivetran
- Google Ads
- Google Analytics 4
- Google Search Console
- Google Sheets
- Hubspot
- LinkedIn Ad Analytics
- Marketo
- Microsoft Advertising
- NetSuite SuiteAnalytics
- Oracle Fusion Cloud Applications
- Apache SeaTunnel
- PostgreSQL/Pgvector
- PyMilvus
- Claude
- Prometheus
- HoneyHive
- Cohere
- Haystack
- FiftyOne
- DSPy
- +7 more
LanceDB or Zilliz Cloud: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.