MongoDB Atlas 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 12.7 for MongoDB Atlas, and ranks ahead in 100% of the answers that name both.

Choose MongoDB Atlas if…

You need ISO/IEC 27001:2022 or FedRAMP Moderate (Atlas for Government) or TX-RAMP Level 2 or PCI DSS or GDPR or CSA STAR coverage
You prefer a larger, established vendor (5,000+ employees)
stores documents and vector embeddings together in one system
good fit for teams already using MongoDB

Choose Qdrant if…

You want the brand AI engines rank higher (60.5 vs 12.7)
AI answers describe it more positively (68% vs 28% 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	MongoDB Atlas	Qdrant
Visibility score	12.7%	60.5%
Change vs last week	New	New
Rank in Vector Databases	#8	#2
Share of voice	5.5%	13.4%
Mentions this run	26	63
Positive in AI answers	28%	68%

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

Visibility score trend

Weekly runs over the last 60 days

MongoDB Atlas 0pp · Qdrant 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

15.4%

71.8%

AI Mode

13.9%

59.4%

Perplexity

8.9%

50.2%

MongoDB AtlasQdrant

Head to head in AI answers

22 engine answers name both brands

0MongoDB Atlas ranked higher

22Qdrant ranked higher

Prompt	Engine	MongoDB Atlas	Qdrant
How do I choose a vector database for a mid-market team?	ChatGPT	#6	#3
How do I choose a vector database for a mid-market team?	AI Mode	#5	#2
What features matter most in a vector database?	ChatGPT	#6	#2
How do companies store and search embeddings without a dedicated tool?	AI Mode	#7	#2
What are the best Vector Databases tools in 2026?	ChatGPT	#10	#2
What are the best Vector Databases tools in 2026?	AI Mode	#8	#3
Top vector database options for B2B SaaS companies	AI Mode	#5	#2
Top vector database options for B2B SaaS companies	Perplexity	#8	#1
Best vector database for enterprise	AI Mode	#7	#5
Compare the leading Vector Databases platforms	ChatGPT	#8	#2
Compare the leading Vector Databases platforms	Perplexity	#9	#3
Which vector database has the best reviews?	ChatGPT	#3	#2

Features, pricing & fit

Dimension	MongoDB Atlas	Qdrant
Pricing model	Usage-based	Usage-based
Entry price	Free; paid from $0.011 / mo	Contact sales
Free plan	Yes	Yes
Deployment	Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
Integrations	100+	—
Compliance	ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR	SOC 2 Type 2, HIPAA
Support	Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on	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	New York, NY, United States	Berlin, Germany
Employees	5,000+	51–200
Funding	IPO and stock offering · $311M raised	Series B · $88M raised
Best for	Development teams building AI applications and agents that need operational data, vectors and search in one platform	Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed