Qdrant

What is Qdrant?

Open-source vector search with real-time indexing.

Who is Qdrant best for?

Qdrant is best for developers building RAG or semantic search who want a fast vector database they can run themselves.

• RAG and AI search

  Dense and sparse vectors, keyword scoring and metadata filters work in one query, which helps retrieval hand the right chunks to a language model.

• Teams that want to self-host

  The engine is open source under Apache 2.0, so it can run on your own servers, on your own Kubernetes through Hybrid Cloud, or fully isolated in Private Cloud.

• Recommendations that change often

  New vectors are indexed in real time without rebuilding the index, so fresh items show up in similarity results as soon as they are added.

• Large collections on a budget

  Scalar, binary and asymmetric quantization cut memory use by up to 64 times, and cloud bills follow the memory and compute a cluster uses.

How much does Qdrant cost?

Qdrant is free to self-host and has a free cloud tier with one small cluster (1 GB RAM, 4 GB disk), while paid Qdrant Cloud clusters are billed by the hour for the compute, memory and storage they use.

Standard Tier bills vCPU, memory, disk, backup storage and paid inference tokens by the hour, charged each month by card or through the AWS, GCP or Azure Marketplace at the same prices. Qdrant's pricing calculator gives an estimate for your workload: for 1 million vectors of 1,536 dimensions on AWS in N. Virginia, with no replication or quantization, it shows about $102.51 a month. Premium's minimum spend is not published, and Hybrid Cloud (your own Kubernetes) and Private Cloud are priced on request. The open-source engine is free under the Apache 2.0 license. Full pricing on qdrant.tech. We checked these prices on 28 Sep 2026.

How do readers rate Qdrant?

No one has rated Qdrant yet. Be the first.

Is Qdrant open source?

Yes. Qdrant's code is public under the Apache 2.0 licence, so you can run it on your own server.

Host it on a serverHostinger, Railway and Elestio set it up on a server for you with a one-click install.

Hosting with

What are the best Qdrant alternatives?

Qdrant is an open source alternative to Pinecone. Milvus, Supavec, Deeplake and HelixDB do the same job and are open source too.

PineconeFree

Managed vector database for search, RAG and agents.

MilvusOpen Source

Vector database for RAG and semantic search that runs on a laptop, a server or a Kubernetes cluster.

SupavecOpen Source

Open-source RAG for your own data.

DeeplakeOpen Source

Database for AI data that keeps vectors with images, video and text, plus search and versioning.

HelixDBOpen Source

Graph database with built-in vector and full-text search, made for AI agent memory and retrieval.

Questions about Qdrant