Google Vertex AI Vector Search vs Qdrant
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Qdrant is the stronger AI pick in Vector Databases: it has a visibility score of 60.5 versus 1.5 for Google Vertex AI Vector Search, and ranks ahead in 50% of the answers that name both.
Choose Google Vertex AI Vector Search if…
- You prefer a larger, established vendor (5,000+ employees)
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 1.5)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or HIPAA coverage
- High performance and memory efficiency, written in Rust
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Google Vertex AI Vector Search | Qdrant |
|---|---|---|
| Visibility score | 1.5% | 60.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #21 | #2 |
| Share of voice | 0.5% | 13.4% |
| Mentions this run | 3 | 63 |
| Positive in AI answers | — | 68% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Google Vertex AI Vector Search 0pp · Qdrant 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Google Vertex AI Vector Search | Qdrant |
|---|---|---|---|
| Best vector database for enterprise | ChatGPT | #8 | #2 |
| Which Vector Databases tools offer annual discounts? | ChatGPT | #4 | #7 |
Features, pricing & fit
| Dimension | Google Vertex AI Vector Search | Qdrant |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Fully managed service on Google Cloud | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge |
| Compliance | — | SOC 2 Type 2, HIPAA |
| Support | — | Community support via Discord on the free tier, Standard tier: email and ticket portal, 10x5 business hours, Premium tier: 24/7 support with private Slack, Discord or Teams channels, Enterprise tier: custom response SLA and advisory services |
| Founded | — | 2021 |
| Headquarters | — | Berlin, Germany |
| Employees | 5,000+ | 51–200 |
| Funding | — | Series B · $88M raised |
| Best for | — | Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed |
Plans side by side
Google Vertex AI Vector Search
Pricing not available.
Qdrant
Pros and cons
Themes from the AI answers that mention each brand
Google Vertex AI Vector Search
Profile in progress.
Qdrant
- High performance and memory efficiency, written in Rust
- Strong metadata and complex payload filtering
- Free tier for prototyping and testing
- Open-source option with flexible self-hosting
- Strong default choice for startups and production RAG
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Google Vertex AI Vector Search vs Qdrant”, https://slateindex.ai/compare/google-vertex-ai-vector-search-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.