Azure AI 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 1.2 for Azure AI Search, and ranks ahead in 100% of the answers that name both.
Choose Azure AI Search if…
- You need ISO 27001 or ISO 27018 or ISO 27701 or SOC 2 or FedRAMP or GDPR coverage
- Strong analyst recognition as a vector database vendor
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 1.2)
- AI answers describe it more positively (68% vs 67% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Azure AI Search | Qdrant |
|---|---|---|
| Visibility score | 1.2% | 60.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #23 | #2 |
| Share of voice | 0.6% | 13.4% |
| Mentions this run | 3 | 63 |
| Positive in AI answers | 67% | 68% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Azure AI Search 0pp · Qdrant 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Azure AI Search | Qdrant |
|---|---|---|---|
| Best vector database for enterprise | ChatGPT | #6 | #2 |
| Which Vector Databases vendors do analysts recommend? | ChatGPT | #6 | #2 |
| Which Vector Databases vendors do analysts recommend? | Perplexity | #8 | #2 |
Features, pricing & fit
| Dimension | Azure AI Search | Qdrant |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Cloud service on Microsoft Azure with Dedicated tiers and a Serverless consumption-based pricing model in preview | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge |
| Compliance | ISO 27001, ISO 27018, ISO 27701, SOC 2, FedRAMP, HIPAA, GDPR | 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 | — | 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
Azure AI Search
Pricing not available.
Qdrant
Pros and cons
Themes from the AI answers that mention each brand
Azure AI Search
- Strong analyst recognition as a vector database vendor
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, “Azure AI Search vs Qdrant”, https://slateindex.ai/compare/azure-ai-search-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.