Pinecone vs Qdrant
On the evidence we track, Pinecone leads this comparison with a composite score of 75/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for vector databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Pinecone
LeaderA cloud-hosted vector database designed for AI applications, enabling fast semantic search and retrieval without performance degradation at scale. Supports dense, sparse, and full-text search with automatic indexing and built-in compliance for production use.
Qdrant
A database system designed for storing and searching vectors with comprehensive filtering capabilities. It provides production-ready APIs and tools for semantic similarity matching and embedding-based applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Pinecone
LeaderFree tier available. Paid plans from $20/month; production plans $50–$500/month minimum plus usage-based charges.
- StarterFree
- Dense, Sparse, and Full-Text Indexes
- Console Metrics
- Community Support via Discord
- USA region only
- Builder$20/month flat
- Everything in Starter
- Increased usage limits
- Multiple projects and users
- Any cloud and region
- Prometheus and Datadog monitoring
- +1 more
- Standard$50/month minimum + usage-based. 3-week free trial with $300 credits.
- Everything in Builder
- Unlimited storage
- Pay-as-you-go Database On-Demand, Inference, and Assistant usage
- Dedicated Read Nodes
- Import from object storage
- +4 more
- Enterprise$500/month minimum + usage-based
- Everything in Standard
- 99.95% Uptime SLA
- Bring Your Own Cloud (BYOC)
- Private Endpoints
- Customer Managed Encryption Keys
- +5 more
- Bring Your Own CloudContact sales
- Pinecone runs in customer's cloud account and VPC
- Zero-access operations – no SSH, VPN, or inbound access
- Outbound-only operations with auditable trail
- AWS PrivateLink, GCP Private Service Connect, or Azure Private Link
Qdrant
Usage-based pricing billed monthly based on CPU, memory, and disk storage consumption. Free tier available.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- AWS
- Slack
- GCP
- Azure
Pinecone
Leader- Azure OpenAI
- GitHub CoPilot
- Azure Marketplace
- Microsoft Marketplace
- Google Cloud Platform
- Microsoft Azure
- Google Drive
- Vercel
- Claude
- Datadog
- Prometheus
- Cursor
- Vercel AI SDK
- Confluent
- Zapier
- Discord
Qdrant
- Adobe
- Hubspot
- Arize
- Google DeepMind
- Qualcomm
- Cohere
- LangChain
- FastEmbed
- Google Cloud Storage
- Azure Blob Storage
Pinecone or Qdrant: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.