Qdrant vs Weaviate

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 45.2 for Weaviate, and ranks ahead in 73% of the answers that name both.

Choose Qdrant if…

You want the brand AI engines rank higher (60.5 vs 45.2)
AI answers describe it more positively (68% vs 59% positive)
You need a self-hosted or on-premises option
You need SOC 2 Type 2 or HIPAA coverage

Choose Weaviate if…

You need SOC 2 Type II or HIPAA (Enterprise Cloud on AWS) coverage
Strong native hybrid search
Open-source and modular AI-native design
Free tier or trial to start

AI visibility side by side

Latest weekly run · Nov 2

Metric	Qdrant	Weaviate
Visibility score	60.5%	45.2%
Change vs last week	New	New
Rank in Vector Databases	#2	#4
Share of voice	13.4%	11.7%
Mentions this run	63	56
Positive in AI answers	68%	59%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Qdrant 0pp · Weaviate 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

71.8%

57.8%

AI Mode

59.4%

40%

Perplexity

50.2%

37.8%

QdrantWeaviate

Head to head in AI answers

55 engine answers name both brands

40Qdrant ranked higher

15Weaviate ranked higher

Prompt	Engine	Qdrant	Weaviate
How do I choose a vector database for a mid-market team?	ChatGPT	#3	#4
How do I choose a vector database for a mid-market team?	AI Mode	#2	#3
How do I choose a vector database for a mid-market team?	Perplexity	#3	#4
What features matter most in a vector database?	ChatGPT	#2	#3
What are common mistakes when buying a vector database?	ChatGPT	#2	#3
What is the difference between a vector database and MLOps Platforms?	ChatGPT	#3	#2
What is the difference between a vector database and MLOps Platforms?	Perplexity	#3	#2
How long does it take to roll out a vector database?	AI Mode	#3	#2
What are the best Vector Databases tools in 2026?	ChatGPT	#2	#3
What are the best Vector Databases tools in 2026?	AI Mode	#3	#4
What are the best Vector Databases tools in 2026?	Perplexity	#1	#4
Best vector database for startups	ChatGPT	#2	#4

Features, pricing & fit

Dimension	Qdrant	Weaviate
Pricing model	Usage-based	Usage-based
Entry price	Contact sales	Free; paid from $45 / mo
Free plan	Yes	Yes
Deployment	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge	Serverless, Enterprise Cloud, or Bring Your Own Cloud
Compliance	SOC 2 Type 2, HIPAA	SOC 2 Type II, HIPAA (Enterprise Cloud on AWS)
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	Email support on all plans, Phone and Slack support on Premium and Dedicated plans, Technical Account Team add-on on Premium and Dedicated plans
Founded	2021	2019
Headquarters	Berlin, Germany	Amsterdam, Netherlands
Employees	51–200	51–200
Funding	Series B · $88M raised	Strategic investment (Ricoh corporate venture fund)
Best for	Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed	Development teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database.