Vertex AI Vector Search vs Vespa

Vertex AI Vector Search8.2Visit Vespa6.8Visit

Higher score Vertex AI Vector Search #2 in Vector Databases 8.2/10 Paid ✓ 3 of 3 features Visit Google Cloud

vs

Vespa #11 in Vector Databases 6.8/10 From $0.05 ✓ 3 of 3 features Visit Vespa

• Vertex AI Vector Search fits best

  Google Cloud teams needing managed hybrid search

• Vespa fits best

  Large-scale search and ranking systems

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Side by side

Feature	Vertex AI Vector Search 8.2/10 Visit ↗	Vespa 6.8/10 Visit ↗
At a glance
Editor score	8.2	6.8
Ranking	#2 in Vector Databases	#11 in Vector Databases
Best for	Google Cloud teams needing managed hybrid search	Large-scale search and ranking systems
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	Not published	—
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Linux
Support	Community, Docs	Email, Community, Docs
Built for	Enterprise	Small business, Mid-market, Enterprise
Features Vertex AI Vector Search 3/3 · Vespa 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	✓	✓
Specs
Deployment	Cloud	Both
Maximum dimensions	Not published	Not published
Index types	Tree-AH, brute force	HNSW
SDK languages	Python, Java	Python, Java
Our review
Pros	Supports dense, sparse, hybrid, and filtered vector search Offers batch and streaming index updates Provides public and private endpoints with SDK, REST, and gRPC access	Combines dense, lexical, hybrid, exact, and ANN search Supports real-time updates, filtering, ranking, and inference Scales across distributed deployments with automatic data distribution
Cons	Usage-based costs span serving, building, and updating indexes Cloud deployment limits portability across infrastructure providers Requires Google Cloud services and client libraries for its ecosystem fit	No free plan for evaluating hosted Vespa Cloud Advanced capabilities may require substantial search expertise Startup includes shared resources and no autoscaling
Our verdict	Vertex AI Vector Search is a managed cloud vector search engine from Google Cloud for semantic search, recommendations, and generative AI applications. It is aimed at teams that want to create, deploy, update, and query indexes through… Read the review →	Vespa is a distributed AI search and serving platform for teams building search, recommendations, personalization, navigation, and retrieval-augmented generation applications. It brings vector and tensor search, lexical retrieval with… Read the review →

Strengths and trade-offs

• Vertex AI Vector Search — where it wins

  • Supports dense, sparse, hybrid, and filtered vector search
  • Offers batch and streaming index updates
  • Provides public and private endpoints with SDK, REST, and gRPC access

  Where it doesn't

  • Usage-based costs span serving, building, and updating indexes
  • Cloud deployment limits portability across infrastructure providers
  • Requires Google Cloud services and client libraries for its ecosystem fit

• Vespa — where it wins

  • Combines dense, lexical, hybrid, exact, and ANN search
  • Supports real-time updates, filtering, ranking, and inference
  • Scales across distributed deployments with automatic data distribution

  Where it doesn't

  • No free plan for evaluating hosted Vespa Cloud
  • Advanced capabilities may require substantial search expertise
  • Startup includes shared resources and no autoscaling

• Vertex AI Vector Search8.2/10 · Paid

  A managed Google Cloud option for teams building dense, sparse, and hybrid search.

  Visit Google CloudFull verdict →
• Vespa6.8/10 · From $0.05

  A powerful distributed engine for hybrid retrieval, ranking, and real-time AI search.

  Visit VespaFull verdict →