ToolPicker
Weaviate Cloud

Weaviate Cloud

55/100

Managed serverless vector DB billed per million stored dims.

weaviate.io

// scorecard · 55/100

verified 1mo ago
methodology →
Agent-readiness23/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
llms.txt3/3
Reliability & performance0/15
Actively maintained
Production-ready0/4
Updated recently
Pricing12/13
Itemized public pricing6/6
Free tier / trial4/4
Free-tier generosity2/3
Docs & DX8/12
Docs quality6/8
Public API2/2
Quickstart / examples0/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size
Years operating

// rankings · cost per standard workload

#7 in Vector Databases$45/ 1M vectors

Serverless Flex: 768M dims ~$4/mo < $45 Flex minimum → $45/mo

weaviate.io/pricing

// overview

Weaviate is an open-source AI vector database that stores and indexes data objects and vector embeddings to enable semantic/hybrid search, RAG, and agent-driven workflows. It provides managed cloud services including Query Agent for natural-language queries, built-in Embeddings, and Engram for personalized memory, with flexible deployment from shared cloud to dedicated enterprise.

Best for: Production-ready AI applications from prototypes to enterprise scale with RAG, search, and agents.

// pricing

Free tier · generosity 3/5
Includes: Always free tier
Limits: 1 cluster per user · 100,000 objects · 1 GB memory · 10 GB disk · 1 collection / 3 tenants · Embeddings 2,000 req/day · Query Agent 1,000 req/mo
Free$0/mo
  • 1 cluster
  • 100k objects
  • 1 GB memory
  • Embeddings 2k req/day
  • Query Agent 1k req/mo
Flexfrom $45/mo
  • Pay-as-you-go
  • Shared cluster
  • Full DB toolkit
  • 99.5% uptime
  • RBAC
Premiumfrom $400/mo
  • Prepaid contract
  • Shared or dedicated
  • 99.95% uptime
  • Enterprise support
  • Global regions

// security & compliance

SOC 2 ISO 27001 GDPR HIPAA

// features

  • Vector Database for high-dimensional vectors
  • Query Agent for natural-language queries
  • Built-in Embeddings from text/images
  • Engram for personalized AI memory
  • Hybrid search and multi-tenancy
  • RBAC, encryption, automated backups