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AlloyDB for PostgreSQL vs Vertex AI Vector Search

AlloyDB for PostgreSQL: Google's Postgres-compatible service with disaggregated storage, a columnar engine and ScaNN vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform.

key differences

  • AlloyDB for PostgreSQL is primarily a relational database; Vertex AI Vector Search is vector.
  • Vertex AI Vector Search is built for larger datasets (Multi-PB) than AlloyDB for PostgreSQL (≤ 1 PB).
  • Horizontal scaling is none in AlloyDB for PostgreSQL and native in Vertex AI Vector Search.
  • Transactions: AlloyDB for PostgreSQL offers full ACID; Vertex AI Vector Search offers none.
  • Only AlloyDB for PostgreSQL has transactions, joins, full-text search, geospatial, json.
  • Only Vertex AI Vector Search has streaming ingest.

choose alloydb for

  • +Migrating demanding Postgres or Oracle workloads to Google Cloud
  • +Operational analytics on live transactional data
  • +RAG and semantic search with vectors stored beside business data
  • +Hybrid deployments using AlloyDB Omni on-premises

best at · OLTP, HTAP, Vector search

choose vertex-ai-vector-search for

  • +Large-scale semantic search on GCP
  • +Recommendation candidate retrieval
  • +RAG for Gemini-based agents
  • +Image and product similarity

best at · Vector search, RAG

overview
Primary model
Relational
Vector
Also supports
Document, Spatial, Vector, Columnar / OLAP
–
Type
Managed service
Managed service
Status
Active
Active
Developer
Google
Google Cloud
First release
2022
2021
Latest version
–
–
License
ProprietaryProprietary (Google Cloud service; AlloyDB Omni commercial license)
ProprietaryProprietary (Google Cloud service)
Free tier
—
—
popularity
WhichDB Score
3.6
21.2
Rank
#430
#141
GitHub stars
–
–
Stack Overflow questions
40
984
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
None
Native
Multi-region
Read replicas
None
ACID
Full
None
Consistency
Strong
Eventual
Schema
Strict
Schemaless
Architecture
Shared storage, Primary replica
Distributed
deployment
Self-hosted
✓
—
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
Google Cloud
Google Cloud
capabilities
Transactions
✓
—
Joins
✓
—
Secondary indexes
✓
✓
Full-text search
✓
—
Vector search
✓
✓
Geospatial
✓
—
JSON
✓
—
Change data capture
✓
—
Triggers
✓
—
Stored procedures
✓
—
Materialized views
✓
—
TTL / expiry
—
—
Pub/Sub
✓
—
Columnar storage
✓
—
In-memory
✓
—
Durable persistence
✓
✓
Compression
✓
—
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL, PL/pgSQL
Vector Search API (restricts and numeric filters)
Client languages
Java, Python, Go, JavaScript, C#, Ruby, PHP
Python, Java, Node.js, Go
Best for
OLTP, HTAP, Vector search, RAG
Vector search, RAG

AlloyDB for PostgreSQL vs Vertex AI Vector Search: FAQ

What is the difference between AlloyDB for PostgreSQL and Vertex AI Vector Search?

AlloyDB for PostgreSQL: Google's Postgres-compatible service with disaggregated storage, a columnar engine and ScaNN vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform. AlloyDB for PostgreSQL is primarily a relational database; Vertex AI Vector Search is vector. Vertex AI Vector Search is built for larger datasets (Multi-PB) than AlloyDB for PostgreSQL (≤ 1 PB). Horizontal scaling is none in AlloyDB for PostgreSQL and native in Vertex AI Vector Search.

When should I choose AlloyDB for PostgreSQL over Vertex AI Vector Search?

Choose AlloyDB for PostgreSQL for migrating demanding Postgres or Oracle workloads to Google Cloud; operational analytics on live transactional data; and RAG and semantic search with vectors stored beside business data. Choose Vertex AI Vector Search for large-scale semantic search on GCP, recommendation candidate retrieval and RAG for Gemini-based agents.

Is AlloyDB for PostgreSQL or Vertex AI Vector Search more popular?

Vertex AI Vector Search ranks #141 on the WhichDB Score (21.2/100) and AlloyDB for PostgreSQL ranks #430 (3.6/100). Popularity is not fit: check the requirements that matter for your project.

Are AlloyDB for PostgreSQL and Vertex AI Vector Search open source?

No. AlloyDB for PostgreSQL is proprietary, closed-source software. No. Vertex AI Vector Search is proprietary, closed-source software.