OpenSearch 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 3.9 for OpenSearch, and ranks ahead in 100% of the answers that name both.

Choose OpenSearch if…

Strong general database popularity
Hybrid keyword-plus-semantic search with dense vectors
Suited to broader search, logging, analytics, and observability

Choose Qdrant if…

You want the brand AI engines rank higher (60.5 vs 3.9)
AI answers describe it more positively (68% vs 0% positive)
You need a self-hosted or on-premises option
You need SOC 2 Type 2 or HIPAA coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	OpenSearch	Qdrant
Visibility score	3.9%	60.5%
Change vs last week	New	New
Rank in Vector Databases	#16	#2
Share of voice	1.7%	13.4%
Mentions this run	8	63
Positive in AI answers	0%	68%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

3.9%

71.8%

AI Mode

59.4%

Perplexity

4.8%

50.2%

OpenSearchQdrant

Head to head in AI answers

6 engine answers name both brands

0OpenSearch ranked higher

6Qdrant ranked higher

Prompt	Engine	OpenSearch	Qdrant
How do I choose a vector database for a mid-market team?	ChatGPT	#8	#3
How do companies store and search embeddings without a dedicated tool?	AI Mode	#5	#2
Top vector database options for B2B SaaS companies	Perplexity	#7	#1
Compare the leading Vector Databases platforms	Perplexity	#7	#3
Which Vector Databases vendors do analysts recommend?	ChatGPT	#8	#2
Who makes the most used vector database?	AI Mode	#6	#2

Features, pricing & fit

Dimension	OpenSearch	Qdrant
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	Yes
Deployment	Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters.	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
Compliance	—	SOC 2 Type 2, HIPAA
Support	Community forum, Slack, GitHub, Long-term support from certified providers	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	2021
Headquarters	San Francisco, CA, United States	Berlin, Germany
Employees	51–200	51–200
Funding	—	Series B · $88M raised
Best for	Organizations that want search, vector retrieval, and observability on open source software without vendor lock-in.	Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed