Zilliz Cloud vs LanceDB

Zilliz Cloud8.9Visit LanceDB8.7Visit

Higher score Zilliz Cloud #5 in Vector Database Hosting 8.9/10 Free plan · 30-day trial Free planFree trial✓ 2 of 3 features Visit Zilliz Cloud

vs

LanceDB #7 in Vector Database Hosting 8.7/10 Open source ✓ 2 of 3 features Visit LanceDB

• Zilliz Cloud fits best

  Managed Milvus-compatible deployments

• LanceDB fits best

  Open-source multimodal data teams

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Side by side

Feature	Zilliz Cloud 8.9/10 Visit ↗	LanceDB 8.7/10 Visit ↗
At a glance
Editor score	8.9	8.7
Ranking	#5 in Vector Database Hosting	#7 in Vector Database Hosting
Best for	Managed Milvus-compatible deployments	Open-source multimodal data teams
Pricing model	Free plan + paid	Free
Starting price	—	Open source
Free plan	✓ (best)	Not checked yet
Free trial	30 days	—
Deployment	Cloud	Cloud, Self-hosted
Support	Docs	Community, Docs
Compliance	SSO/SAML, 2FA, GDPR, HIPAA, SOC 2, ISO 27001	SOC 2, GDPR, HIPAA
Integrations	10 integrations	6 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Zilliz Cloud 2/3 · LanceDB 2/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Serverless scaling	Not checked yet	Not checked yet
Specs
Included storage	Not checked yet	Not checked yet
Deployment regions	Not checked yet	Not checked yet
Maximum dimensions	32768 dimensions	Not checked yet
Our review
Pros	Hybrid, sparse, BM25, and full-text search in one service Free tier includes 5 GB storage and up to 5 collections SaaS and BYOC deployment options with backup and migration tools	Combines vector, full-text, and hybrid search with reranking Stores vectors, metadata, and multimodal data in shared tables Supports versioning, reproducibility, schema evolution, and filtering
Cons	Paid pricing uses variable operation or compute charges Deployment is cloud-focused rather than self-hosted Not open source, which limits platform ownership options	Sparse-vector support is not part of the listed capability set Paid plan amounts are not published in the available pricing details Production deployment options add complexity beyond local use
Our verdict	Zilliz Cloud is a fully managed Milvus service for teams building and operating vector search applications. It provides cloud-hosted clusters for semantic search, retrieval-augmented generation, recommendations, and multimodal retrieval.… Read the review →	LanceDB is an open-source embedded retrieval library and multimodal lakehouse for AI and machine-learning workloads. It is designed for teams that need to store vectors, metadata, and multimodal data together while supporting vector… Read the review →

Strengths and trade-offs

• Zilliz Cloud — where it wins

  • Hybrid, sparse, BM25, and full-text search in one service
  • Free tier includes 5 GB storage and up to 5 collections
  • SaaS and BYOC deployment options with backup and migration tools

  Where it doesn't

  • Paid pricing uses variable operation or compute charges
  • Deployment is cloud-focused rather than self-hosted
  • Not open source, which limits platform ownership options

• LanceDB — where it wins

  • Combines vector, full-text, and hybrid search with reranking
  • Stores vectors, metadata, and multimodal data in shared tables
  • Supports versioning, reproducibility, schema evolution, and filtering

  Where it doesn't

  • Sparse-vector support is not part of the listed capability set
  • Paid plan amounts are not published in the available pricing details
  • Production deployment options add complexity beyond local use

• Zilliz Cloud8.9/10 · Free plan · 30-day trial

  A capable managed Milvus service with a free tier and usage-based paid plans.

  Visit Zilliz CloudFull verdict →
• LanceDB8.7/10 · Open source

  A strong fit for open-source AI teams building multimodal retrieval with versioned tables.

  Visit LanceDBFull verdict →