Weaviate vs Vertex AI Vector Search

Weaviate8.7Visit Vertex AI Vector Search8.3Visit

Higher score Weaviate #3 in Ai Databases 8.7/10 Free plan Free plan✓ 2 of 3 features Visit Weaviate

vs

Vertex AI Vector Search #7 in Ai Databases 8.3/10 Paid ✓ 2 of 3 features Visit Google Cloud

• Weaviate fits best

  Teams needing cloud or self-hosted vector search

• Vertex AI Vector Search fits best

  Enterprises standardizing on managed cloud vector search

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Side by side

Feature	Weaviate 8.7/10 Visit ↗	Vertex AI Vector Search 8.3/10 Visit ↗
At a glance
Editor score	8.7	8.3
Ranking	#3 in Ai Databases	#7 in Ai Databases
Best for	Teams needing cloud or self-hosted vector search	Enterprises standardizing on managed cloud vector search
Pricing model	Free plan + paid	Paid
Starting price	$45/mo	Not checked yet
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Email, Phone, Community, Docs · 24/7	Community, Docs
Built for	Small business, Mid-market, Enterprise	Enterprise
Features Weaviate 2/3 · Vertex AI Vector Search 2/3
Metadata filtering	✓	✓
Hybrid search	✓	✓
Managed backups	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Index types	HNSW, Flat, Dynamic, HFresh	Tree-AH, brute force
Max vector dimensions	Not checked yet	Not checked yet
Our review
Pros	Hybrid vector and BM25 keyword search with metadata filtering Cloud and self-hosted deployment with multiple index types REST, GraphQL, gRPC APIs and five official client-language options	Supports dense, sparse, and hybrid embedding search Combines Tree-AH and brute-force index approaches Offers metadata filtering, autoscaling, and private endpoints
Cons	Free plan is limited to 100,000 objects and 1 GB memory Flex starts at $45 per month with a shared cloud cluster Premium requires a $400 monthly prepaid contract	Cloud-only deployment does not fit self-hosted requirements Usage-based costs vary with infrastructure and update activity Index and deployment choices require careful architecture planning
Our verdict	Weaviate is an open-source vector database for developers building semantic search, retrieval-augmented generation, recommendations, and other AI applications. It stores objects with vector embeddings and supports vector similarity,… Read the review →	Vertex AI Vector Search is a managed Google Cloud vector search engine for semantic search, recommendation systems, retrieval-augmented generation, and other AI-powered applications. It serves enterprise teams that want hosted… Read the review →

Strengths and trade-offs

• Weaviate — where it wins

  • Hybrid vector and BM25 keyword search with metadata filtering
  • Cloud and self-hosted deployment with multiple index types
  • REST, GraphQL, gRPC APIs and five official client-language options

  Where it doesn't

  • Free plan is limited to 100,000 objects and 1 GB memory
  • Flex starts at $45 per month with a shared cloud cluster
  • Premium requires a $400 monthly prepaid contract

• Vertex AI Vector Search — where it wins

  • Supports dense, sparse, and hybrid embedding search
  • Combines Tree-AH and brute-force index approaches
  • Offers metadata filtering, autoscaling, and private endpoints

  Where it doesn't

  • Cloud-only deployment does not fit self-hosted requirements
  • Usage-based costs vary with infrastructure and update activity
  • Index and deployment choices require careful architecture planning

• Weaviate8.7/10 · Free plan

  A flexible vector database with hybrid search, multiple APIs, and cloud or self-hosted deployment.

  Visit WeaviateFull verdict →
• Vertex AI Vector Search8.3/10 · Paid

  Enterprise teams get dense, sparse, and hybrid vector search with managed Google Cloud operations.

  Visit Google CloudFull verdict →