vs

ScaNN vs Vertex AI Vector Search

ScaNN: Google Research's ANN library using anisotropic quantization; the tech behind Vertex AI and AlloyDB vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform.

key differences

  • Licensing: ScaNN is open source (permissive) (Apache License 2.0); Vertex AI Vector Search is proprietary (Proprietary (Google Cloud service)).
  • Vertex AI Vector Search is built for larger datasets (Multi-PB) than ScaNN (≤ 1 PB).
  • Horizontal scaling is manual in ScaNN and native in Vertex AI Vector Search.
  • Only ScaNN has in-memory, compression.
  • Only Vertex AI Vector Search has secondary indexes, durable persistence, encryption at rest, role-based access, streaming ingest.
  • ScaNN can run embedded in your application process.

choose scann for

  • +High-throughput batch similarity search
  • +ANN research and benchmarking
  • +Embedding retrieval inside Python ML pipelines

best at · Vector search, Embedded, Scientific

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
Vector
Vector
Also supports
–
–
Type
Embedded library
Managed service
Status
Active
Active
Developer
Google Research
Google Cloud
First release
2020
2021
Latest version
1.4.2 (Aug 29, 2025)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary (Google Cloud service)
Free tier
✓
—
popularity
WhichDB Score
6.3
21.2
Rank
#365
#141
GitHub stars
–
–
Stack Overflow questions
–
984
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Manual
Native
Multi-region
None
None
ACID
None
None
Consistency
Strong
Eventual
Schema
Schemaless
Schemaless
Architecture
Embedded, In memory
Distributed
deployment
Self-hosted
✓
—
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
✓
—
Edge
—
—
Clouds
–
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
Python API, C++ API
Vector Search API (restricts and numeric filters)
Client languages
Python, C++
Python, Java, Node.js, Go
Best for
Vector search, Embedded, Scientific
Vector search, RAG

ScaNN vs Vertex AI Vector Search: FAQ

What is the difference between ScaNN and Vertex AI Vector Search?

ScaNN: Google Research's ANN library using anisotropic quantization; the tech behind Vertex AI and AlloyDB vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform. Licensing: ScaNN is open source (permissive) (Apache License 2.0); Vertex AI Vector Search is proprietary (Proprietary (Google Cloud service)). Vertex AI Vector Search is built for larger datasets (Multi-PB) than ScaNN (≤ 1 PB). Horizontal scaling is manual in ScaNN and native in Vertex AI Vector Search.

When should I choose ScaNN over Vertex AI Vector Search?

Choose ScaNN for high-throughput batch similarity search; ANN research and benchmarking; and embedding retrieval inside Python ML pipelines. Choose Vertex AI Vector Search for large-scale semantic search on GCP, recommendation candidate retrieval and RAG for Gemini-based agents.

Is ScaNN or Vertex AI Vector Search more popular?

Vertex AI Vector Search ranks #141 on the WhichDB Score (21.2/100) and ScaNN ranks #365 (6.3/100). Popularity is not fit: check the requirements that matter for your project.

Are ScaNN and Vertex AI Vector Search open source?

Yes. ScaNN is open source. License: Apache License 2.0. No. Vertex AI Vector Search is proprietary, closed-source software.