Qdrant
Berlin-built open-source vector database for AI search and retrieval, self-host or managed
Quick Overview
| Company | Qdrant Solutions GmbH |
|---|---|
| Category | Databases & Backends |
| Headquarters | Berlin, Germany |
| EU Presence | EU (Germany) |
| Data Location | Deployment region of your choice; data is stored only in that region |
| Open Source | Yes |
| Compliance | SOC 2 Type 2, HIPAA; GDPR Data Processing Agreement available |
| Pricing | Free tier (single-node cluster) forever / Standard is usage-based for production / Premium requires a minimum spend |
| Free Option | Free tier, forever |
| Replaces | Pinecone, Milvus, MongoDB Atlas Vector Search |
Detailed Review
None of the providers already in this category are built for the workload that has become one of the most common reasons to add a new database in 2026: storing embeddings for semantic search and retrieval-augmented generation.
Qdrant is a purpose-built vector database, open source under Apache 2.0, that a team can self-host for free or run on Qdrant Cloud, with a single-node tier that stays free indefinitely and a usage-based Standard tier for production workloads with dedicated resources, backups and a 99.5% uptime SLA.
Qdrant Solutions GmbH is registered in Berlin, and German law governs the Qdrant Cloud terms, with data stored only in the deployment region the customer chooses. Qdrant Cloud holds SOC 2 Type 2 and HIPAA certification, and a GDPR Data Processing Agreement is available for regulated deployments.
The honest comparison here is not to Aiven or Scaleway but to Pinecone and other US vector-database vendors — Qdrant is the European-jurisdiction option in a market segment none of the general-purpose providers in this category cover, at the cost of being a single-purpose database rather than a platform.
What Qdrant does well
- Purpose-built vector database for AI search and RAG
- Open source under Apache 2.0, self-hostable for free
- Free-forever single-node cloud tier
- SOC 2 Type 2 and HIPAA certified
- German company, GDPR Data Processing Agreement available
Where Qdrant falls short
- Single-purpose — not a general relational or document database
- Premium tier requires a minimum spend
- Newer and smaller company than the established providers here
- No specific EU-only region guarantee stated for every tier
Standout feature. The only purpose-built vector database in this category, open source and German-registered where the obvious alternatives are American.
Pros and Cons
Pros
- Purpose-built vector database for AI search and RAG
- Open source under Apache 2.0, self-hostable for free
- Free-forever single-node cloud tier
- SOC 2 Type 2 and HIPAA certified
- German company, GDPR Data Processing Agreement available
Cons
- Single-purpose — not a general relational or document database
- Premium tier requires a minimum spend
- Newer and smaller company than the established providers here
- No specific EU-only region guarantee stated for every tier
Alternatives to Qdrant
Frequently Asked Questions
What is Qdrant?
None of the providers already in this category are built for the workload that has become one of the most common reasons to add a new database in 2026: storing embeddings for semantic search and retrieval-augmented generation.
Qdrant is a purpose-built vector database, open source under Apache 2.0, that a team can self-host for free or run on Qdrant Cloud, with a single-node tier that stays free indefinitely and a usage-based Standard tier for production workloads with dedicated resources, backups and a 99.5% uptime SLA.
Where is Qdrant based?
Qdrant operates from Berlin, Germany, which places it under EU (Germany). Compliance: SOC 2 Type 2, HIPAA; GDPR Data Processing Agreement available.
What does Qdrant cost?
Free tier (single-node cluster) forever / Standard is usage-based for production / Premium requires a minimum spend. Free tier, forever.
Who is Qdrant best for?
Teams building AI search or RAG needing a European vector database. The only purpose-built vector database in this category, open source and German-registered where the obvious alternatives are American.
What are the drawbacks of Qdrant?
Single-purpose — not a general relational or document database. Premium tier requires a minimum spend. Newer and smaller company than the established providers here. No specific EU-only region guarantee stated for every tier.
Is Qdrant a good alternative to Pinecone?
Qdrant is built as a European alternative to Pinecone: Berlin-built open-source vector database for AI search and retrieval, self-host or managed. It will not be a like-for-like feature match in every respect, so check the review above for where the two genuinely differ before switching.
How does Qdrant compare to other Databases & Backends tools?
Qdrant is one of several European Databases & Backends tools we cover. It is most often compared with Pinecone, Milvus, MongoDB Atlas Vector Search.