PineconeBuild knowledgeable AI
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2
Pinecone vs Qdrant
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Pinecone is the stronger AI pick in Vector Databases: it has a visibility score of 71.8 versus 60.5 for Qdrant, and ranks ahead in 74% of the answers that name both.
Choose Pinecone if…
- You want the brand AI engines rank higher (71.8 vs 60.5)
- You need SOC 2 Type II or GDPR or ISO 27001 coverage
- Zero-ops, fully managed cloud service
- Easiest managed option to start with
Choose Qdrant if…
- AI answers describe it more positively (68% vs 57% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 coverage
- High performance and memory efficiency, written in Rust
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Pinecone | Qdrant |
|---|---|---|
| Visibility score | 71.8% | 60.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #1 | #2 |
| Share of voice | 14% | 13.4% |
| Mentions this run | 66 | 63 |
| Positive in AI answers | 57% | 68% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Pinecone 0pp · Qdrant 0pp over 0 weekly runs.
Engine by engine
Pinecone leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
PineconeQdrant
Head to head in AI answers
62 engine answers name both brands
46Pinecone ranked higher
16Qdrant ranked higher
| Prompt | Engine | Pinecone | Qdrant |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | ChatGPT | #2 | #3 |
| How do I choose a vector database for a mid-market team? | AI Mode | #1 | #2 |
| How do I choose a vector database for a mid-market team? | Perplexity | #2 | #3 |
| What features matter most in a vector database? | ChatGPT | #1 | #2 |
| What are common mistakes when buying a vector database? | ChatGPT | #1 | #2 |
| How do companies store and search embeddings without a dedicated tool? | AI Mode | #1 | #2 |
| What is the difference between a vector database and MLOps Platforms? | ChatGPT | #1 | #3 |
| What is the difference between a vector database and MLOps Platforms? | Perplexity | #1 | #3 |
| How long does it take to roll out a vector database? | AI Mode | #1 | #3 |
| What are the best Vector Databases tools in 2026? | ChatGPT | #1 | #2 |
| What are the best Vector Databases tools in 2026? | AI Mode | #1 | #3 |
| What are the best Vector Databases tools in 2026? | Perplexity | #2 | #1 |
Features, pricing & fit
| Dimension | Pinecone | Qdrant |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $20 / mo | Contact sales |
| Free plan | Yes | Yes |
| Deployment | Fully managed cloud service, with an optional bring-your-own-cloud (BYOC) deployment | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge |
| Compliance | SOC 2 Type II, HIPAA, GDPR, ISO 27001 | SOC 2 Type 2, HIPAA |
| Support | Community support via Discord on Starter, Free support with response SLAs available via Developer or Pro add-on, Pro support included on Enterprise and BYOC, Dedicated customer success and support SLAs on Enterprise | 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 | 2019 | 2021 |
| Headquarters | New York, NY | Berlin, Germany |
| Employees | 51–200 | 51–200 |
| Funding | Series B · $138M raised | Series B · $88M raised |
| Best for | Production AI applications, from solo developers and small teams to mission-critical enterprise deployments | Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed |
Plans side by side
Pinecone
Starter$0free
Builder$20month flat
Standard$50month minimum usage
Enterprise$500month minimum usage
Qdrant
Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Pros and cons
Themes from the AI answers that mention each brand
Pinecone
- Zero-ops, fully managed cloud service
- Easiest managed option to start with
- Enterprise-grade reliability and scalability
- Free tier and trial credits for testing
- Most-used and widely adopted vector database
- Monthly minimum charges on paid tiers
- Free tier limits the number of vectors
- Concern about vendor lock-in
Qdrant
- High performance and memory efficiency, written in Rust
- Strong metadata and complex payload filtering
- Free tier for prototyping and testing
- Open-source option with flexible self-hosting
- Strong default choice for startups and production RAG
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Pinecone vs Qdrant”, https://slateindex.ai/compare/pinecone-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.