Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Vector Databases

Vertex AI Vector Search vs Actian VectorAI DB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Vertex AI Vector Search #2 in Vector Databases 9.2/10 Paid ✓ 3 of 3 features Visit Google Cloud
Actian VectorAI DB #4 in Vector Databases 9.0/10 Free plan · 30-day trial Free planFree trial✓ 2 of 3 features Visit Actian

Vertex AI Vector Search leads on 0 checks, Actian VectorAI DB on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreVertex AI Vector Search · 9.2/10
  • Free planonly Actian VectorAI DB
  • Free trialonly Actian VectorAI DB
  • Most featuresVertex AI Vector Search · 3 of 3

Vertex AI Vector Search scores higher on our rubric for vector databases: 9.2 against 9.0 out of 10; our editors rank them #2 and #4.

On deployment, Actian VectorAI DB gives you Both where Vertex AI Vector Search offers Cloud.

Vertex AI Vector Search is the better fit for google Cloud teams needing managed hybrid search. Actian VectorAI DB is the better fit for teams needing broad deployment and multimodal inputs.

  • Vertex AI Vector Search fits best

    Google Cloud teams needing managed hybrid search

  • Actian VectorAI DB fits best

    Teams needing broad deployment and multimodal inputs

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Vertex AI Vector Search 9.2/10 Visit ↗ Actian VectorAI DB 9.0/10 Visit ↗
At a glance
Editor score 9.2 9.0
Ranking #2 in Vector Databases #4 in Vector Databases
Best for Google Cloud teams needing managed hybrid search Teams needing broad deployment and multimodal inputs
Pricing model Paid Free plan + paid
Starting price Not checked yet $417/mo
Free plan Not checked yet ✓ (best)
Free trial — 30 days
Deployment Cloud Desktop, Self-hosted
Platforms Web Linux, Windows, macOS
Features Vertex AI Vector Search 3/3 · Actian VectorAI DB 2/3
Hybrid search ✓ ✓
Metadata filtering ✓ ✓
Sparse vectors ✓ (best) Not checked yet
Specs
Deployment Cloud Both
Maximum dimensions Not checked yet Not checked yet
Index types Tree-AH, brute force HNSW, flat
SDK languages Python, Java Python, JavaScript, C++
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
  • Dense, hybrid, filtered, and multimodal retrieval support
  • Docker, Kubernetes, Helm, and Terraform deployment options
  • Free Community plan plus a 30-day trial
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
  • Paid pricing is listed for only Starter and Growth
  • Community capacity is limited to 5K vectors
  • Sparse BM25 scoring is client-side rather than native storage
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 →

Actian VectorAI DB is a self-hosted vector database for semantic search, retrieval-augmented generation, recommendations, and AI agent memory. It supports local machines, servers, virtual machines, on-premises infrastructure, self-managed…

Read the review →
  1. Vertex AI Vector SearchVector Databases 9.2Paid
  2. Actian VectorAI DBVector Databases 9.0Free plan · 30-day trial

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

  • Actian VectorAI DB — where it wins

    • Dense, hybrid, filtered, and multimodal retrieval support
    • Docker, Kubernetes, Helm, and Terraform deployment options
    • Free Community plan plus a 30-day trial

    Where it doesn't

    • Paid pricing is listed for only Starter and Growth
    • Community capacity is limited to 5K vectors
    • Sparse BM25 scoring is client-side rather than native storage
  • Vertex AI Vector Search9.2/10 · Paid

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

    Visit Google CloudFull verdict →
  • Actian VectorAI DB9.0/10 · Free plan · 30-day trial

    A flexible self-hosted vector database for multimodal and hybrid retrieval.

    Visit ActianFull verdict →

More comparisons

All vector databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update