Qdrant vs Supabase

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 5.7 for Supabase, and ranks ahead in 100% of the answers that name both.

Choose Qdrant if…

You want the brand AI engines rank higher (60.5 vs 5.7)
AI answers describe it more positively (68% vs 18% positive)
You need HIPAA coverage
Usage-based pricing suits your budget better than flat tiers

Choose Supabase if…

You need ISO 27001 or HIPAA (BAA available) coverage
You prefer a larger, established vendor (201–500 employees)
Flat tiers pricing suits your budget better than usage-based
Integrates smoothly with Firebase and Supabase

AI visibility side by side

Latest weekly run · Nov 2

Metric	Qdrant	Supabase
Visibility score	60.5%	5.7%
Change vs last week	New	New
Rank in Vector Databases	#2	#12
Share of voice	13.4%	2.2%
Mentions this run	63	11
Positive in AI answers	68%	18%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

71.8%

10.4%

AI Mode

59.4%

5.9%

Perplexity

50.2%

0.9%

QdrantSupabase

Head to head in AI answers

11 engine answers name both brands

11Qdrant ranked higher

0Supabase ranked higher

Prompt	Engine	Qdrant	Supabase
Best vector database for startups	AI Mode	#2	#4
Top vector database options for B2B SaaS companies	AI Mode	#2	#7
Compare the leading Vector Databases platforms	ChatGPT	#2	#9
Most affordable vector database that is still reliable	ChatGPT	#1	#6
How much does a vector database cost per month?	ChatGPT	#2	#5
How much does a vector database cost per month?	AI Mode	#2	#5
Is there a free vector database for small teams?	ChatGPT	#1	#2
What is the typical pricing model for Vector Databases software?	ChatGPT	#3	#5
Official website of the top vector database vendors	Perplexity	#2	#11
Where can I sign up for a vector database?	ChatGPT	#2	#5
Where can I sign up for a vector database?	AI Mode	#2	#7

Features, pricing & fit

Dimension	Qdrant	Supabase
Pricing model	Usage-based	Flat tiers
Entry price	Contact sales	Free; paid from $25 / mo
Free plan	Yes	Yes
Deployment	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge	Hosted cloud in AWS regions across the US, EU and Asia Pacific, or self-hosted open source
Compliance	SOC 2 Type 2, HIPAA	SOC 2 Type 2, ISO 27001, HIPAA (BAA available)
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 (Free plan), Email support (Pro plan), Priority email support and SLAs (Team plan), 24x7 premium enterprise support and private Slack channel (Enterprise plan)
Founded	2021	2020
Headquarters	Berlin, Germany	Remote-first, United States
Employees	51–200	201–500
Funding	Series B · $88M raised	Series D · $1000M 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 building production applications on Postgres that want auth, storage, realtime and vector search in one backend