Qdrant vs Zilliz Cloud

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 23 for Zilliz Cloud, and ranks ahead in 70% of the answers that name both.

Choose Qdrant if…

You want the brand AI engines rank higher (60.5 vs 23)
AI answers describe it more positively (68% vs 32% positive)
You need a self-hosted or on-premises option
You need SOC 2 Type 2 or HIPAA coverage

Choose Zilliz Cloud if…

You need SOC 2 Type II or ISO/IEC 27001 or GDPR ready or HIPAA ready coverage
built for billion-scale vector workloads
free tier with 5 GB storage
managed Milvus cloud option

AI visibility side by side

Latest weekly run · Nov 2

Metric	Qdrant	Zilliz Cloud
Visibility score	60.5%	23%
Change vs last week	New	New
Rank in Vector Databases	#2	#5
Share of voice	13.4%	6.3%
Mentions this run	63	30
Positive in AI answers	68%	32%

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

Visibility score trend

Weekly runs over the last 60 days

Qdrant 0pp · Zilliz Cloud 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

71.8%

28.7%

AI Mode

59.4%

22%

Perplexity

50.2%

18.3%

QdrantZilliz Cloud

Head to head in AI answers

30 engine answers name both brands

21Qdrant ranked higher

9Zilliz Cloud ranked higher

Prompt	Engine	Qdrant	Zilliz Cloud
How do I choose a vector database for a mid-market team?	ChatGPT	#3	#5
What features matter most in a vector database?	ChatGPT	#2	#5
What are the best Vector Databases tools in 2026?	AI Mode	#3	#2
Top vector database options for B2B SaaS companies	ChatGPT	#2	#5
Top vector database options for B2B SaaS companies	Perplexity	#1	#5
Best vector database for enterprise	ChatGPT	#2	#4
Best vector database for enterprise	AI Mode	#5	#2
Best vector database for enterprise	Perplexity	#5	#3
Compare the leading Vector Databases platforms	ChatGPT	#2	#4
Compare the leading Vector Databases platforms	AI Mode	#4	#2
Compare the leading Vector Databases platforms	Perplexity	#3	#4
Which vector database has the best reviews?	ChatGPT	#2	#1

Features, pricing & fit

Dimension	Qdrant	Zilliz Cloud
Pricing model	Usage-based	Usage-based
Entry price	Contact sales	Free; paid from $197 / mo
Free plan	Yes	Yes
Deployment	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge	Fully managed SaaS, bring-your-own-cloud (BYOC) with data in the customer's VPC, and self-run open-source Milvus
Compliance	SOC 2 Type 2, HIPAA	SOC 2 Type II, ISO/IEC 27001, GDPR ready, HIPAA ready
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	Community support bot, Email/ticket portal, Slack private channel, Zoom, Google Meet or Teams calls
Founded	2021	2017
Headquarters	Berlin, Germany	Redwood City, California
Employees	51–200	51–200
Funding	Series B · $88M raised	Series B extension · $113M 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	Teams running production AI applications that need low-latency vector search at scale, and regulated sectors such as healthcare and finance