Qdrant vs TiDB

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 1.9 for TiDB, 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 1.9)
You need a self-hosted or on-premises option
You need HIPAA coverage
High performance and memory efficiency, written in Rust

Choose TiDB if…

You need ISO/IEC 27001:2013 or GDPR or CCPA coverage
You prefer a larger, established vendor (501–1,000 employees)

AI visibility side by side

Latest weekly run · Nov 2

Metric	Qdrant	TiDB
Visibility score	60.5%	1.9%
Change vs last week	New	New
Rank in Vector Databases	#2	#20
Share of voice	13.4%	0.7%
Mentions this run	63	3
Positive in AI answers	68%	—

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT

71.8%

AI Mode

59.4%

Perplexity

50.2%

5.6%

QdrantTiDB

Head to head in AI answers

2 engine answers name both brands

2Qdrant ranked higher

0TiDB ranked higher

Prompt	Engine	Qdrant	TiDB
Compare the leading Vector Databases platforms	Perplexity	#3	#11
Best vector database with AI features	Perplexity	#3	#8

Features, pricing & fit

Dimension	Qdrant	TiDB
Pricing model	Usage-based	Usage-based
Entry price	Contact sales	Free; paid from $400 / mo
Free plan	Yes	Yes
Deployment	Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge	Managed cloud service (TiDB Cloud), bring-your-own-cloud (BYOC) deployment in the customer's cloud account, and self-managed open source
Compliance	SOC 2 Type 2, HIPAA	ISO/IEC 27001:2013, SOC 2 Type 2, GDPR, CCPA
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	Online documentation and setup guides, FAQs, Contact sales
Founded	2021	2015
Headquarters	Berlin, Germany	Sunnyvale, California
Employees	51–200	501–1,000
Funding	Series B · $88M raised	Series A
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 AI agents and agentic workloads that need vectors, transactions and analytics in one database