Pinecone vs Qdrant
The storage layer under semantic search and RAG. This is the familiar managed-versus-open-source decision, and the pricing tells you most of what you need.
All 2 checked against the vendor's own pricing page · checked Sep 2026
These tools sit in different categories in our directory, which reflects where each is strongest rather than a filing error.
Which should you pick?
Pinecone publishes a clear ladder, free Starter through $20 Builder and $50 Standard to $500 Enterprise, and you never run anything. That is the case for it: no ops, predictable bill, and it scales without you thinking about it. Qdrant is Apache-2.0, written in Rust, with about 34k stars, so you can self-host it for the price of the machine and never be locked in. Its cloud tiers exist but it does not publish flat monthly figures the way Pinecone does, so budgeting means talking to them or measuring your own usage. Choose Qdrant if self-hosting is realistic for your team or lock-in is a stated concern, and Pinecone if nobody on the team wants to be responsible for a database at 3am.
| Visit Pinecone | Visit Qdrant | |
|---|---|---|
| What it costs | ||
| Pricing | Freemium | Freemium |
| Pricing details | Free tier available, usage-based pricing | Open-source (self-hosted free), Qdrant Cloud from $25/month |
| Price range | $0 - $500/moChecked 2026-09-18 | Usage based, no flat monthly planChecked 2026-09-22 |
| Free option | Free tier | Free tier |
| Plans |
|
|
| What it is | ||
| What it does | Vector database for AI at scale. Millions of queries per second. Semantic search, RAG systems, similarity matching for large-scale production AI apps. | Qdrant is a vector database designed for storing and searching high-dimensional vector embeddings, enabling similarity search and AI-powered applications. |
| The details | ||
| Tags | vector-databasesemantic-searchragai-searchembeddings | vector-databasesemantic-searchai-infrastructureopen-sourcerag |
What it costs
- Pricing
- Freemium
- Pricing details
- Free tier available, usage-based pricing
- Price range
- $0 - $500/moChecked 2026-09-18
- Free option
- Free tier
- Plans
- Starter$0/mo
- Builder$20/mo
- Standard$50/mo
- Enterprise$500/mo
- Bring your own cloudContact sales
What it is
- What it does
- Vector database for AI at scale. Millions of queries per second. Semantic search, RAG systems, similarity matching for large-scale production AI apps.
The details
- Tags
- vector-databasesemantic-searchragai-searchembeddings
What it costs
- Pricing
- Freemium
- Pricing details
- Open-source (self-hosted free), Qdrant Cloud from $25/month
- Price range
- Usage based, no flat monthly planChecked 2026-09-22
- Free option
- Free tier
- Plans
- Free Tier$0/mo
- Standard TierNot listed
- Premium TierNot listed
- EnterpriseContact sales
What it is
- What it does
- Qdrant is a vector database designed for storing and searching high-dimensional vector embeddings, enabling similarity search and AI-powered applications.
The details
- Tags
- vector-databasesemantic-searchai-infrastructureopen-sourcerag
Read the full reviews
What each one is actually like to use, tested by hand rather than summarised from the vendor’s own page.
