Qdrant Hosting Live In 5 Minutes

Qdrant hosting on xCloud gives you a self-hosted vector database for semantic search, recommendations and RAG, on a server you control. Deploy Qdrant 1.19.1 and xCloud runs the pinned official image behind HTTPS with a generated 48-character API key, a web dashboard at /dashboard and one persistent volume for collections and snapshots, ready in minutes without exposing an open database.

  • No terminal
  • No technical skills needed
  • No lock-in, cancel anytime

What is Qdrant?

Self-hosted Qdrant is a vector similarity search engine and vector database. Upstream describes a production-ready service with an API to store, search and manage points, which are vectors with an additional payload, tailored for extended filtering in neural-network or semantic matching, faceted search and other applications. It is written in Rust and licensed Apache-2.0, and it is a self-hosted alternative to services such as Pinecone.

On xCloud the template runs the official Qdrant 1.19.1 image, pinned by digest, as a single HTTPS service with API-key authentication switched on. Only the REST API and dashboard on port 6333 are published, and gRPC stays private. One qdrant_data volume holds collections, payloads, indexes and snapshots. xCloud does not manage your schema, embeddings or RAG pipeline.

From Sign-Up to a Live Qdrant In Just 3 Easy Steps

Self-hosting Qdrant normally means a container, a reverse proxy, a TLS certificate and an authentication decision before the first collection exists. This is the same result without assembling any of it.

  1. Step 01

    Sign Up

    Create your xCloud account and pick Qdrant from the OneClick catalog. Enter a site title and a domain — there are no app-specific fields to fill in.

  2. Step 02

    We Deploy It For You

    One click. We bring up the pinned qdrant/qdrant:1.19.1 image, generate a 48-character administrator API key, and publish the REST API and dashboard over HTTPS.

  3. Step 03

    Start Using It

    Open /dashboard from your credentials panel, enter the generated API key, and create your first collection with the vector dimensions and distance metric your embedding model needs.

Everything Qdrant Does, On Your Own Server

Qdrant runs in full here — the open-source server is complete, not a trimmed tier, and the vectors sit on infrastructure you control.

  • REST API And Client Libraries

    Qdrant's own REST calls and official clients work as documented against the HTTPS API; gRPC stays private and is not published by this template.

  • Web Dashboard Included

    Create a collection or inspect points from the browser dashboard at /dashboard, protected by the generated API key.

  • Payload Filtering

    Combine vector similarity with metadata filters on the payloads you store alongside each point — no second system to keep in sync.

  • Persistent Collections

    Collections, points, payloads, indexes and local snapshots live under /qdrant/storage on a named volume that survives a restart.

  • API-Key Authentication

    A 48-character administrator key is generated at first boot and required on every request — unauthenticated collection access is rejected.

  • Yours To Extend

    A server you own means you can run other apps beside it, add app-specific tooling, or script against the API however you like.

Everything You Need To Run Your Vector Database 24/7

Managed hosting for Qdrant, so the parts that keep it online are not your problem.

  • Qdrant 1.19.1 deployed instantly
  • Generated API-key authentication
  • REST API and client library support
  • Persistent vector storage
  • Free SSL certificate
  • Server backups and snapshots
  • 30+ server locations
  • Unused balance refunded

What You Can Do With Qdrant

  • Vector database for RAG

    A developer stores document embeddings and payloads in Qdrant and retrieves the closest matches for a language model prompt, with the vectors held on a server they control.

  • Semantic search for an application

    A product team turns text or images into embeddings, stores them as points and runs similarity search with payload filters, so results can be narrowed by metadata such as category.

  • Recommendations from embeddings

    An engineer uses stored vectors to find items similar to what a user has viewed, matching on embeddings rather than keywords, and inspects the collection from the dashboard.

  • Keep embeddings off a managed vendor

    A team that does not want its vectors in a third-party managed service runs Qdrant behind an API key on a Cloud VPS, with snapshots it can copy off the server.

Qdrant vs Alternatives

Pinecone
Choose Qdrant as a Pinecone alternative when you want to run the vector database yourself. The template gives you the open-source server on your own Cloud VPS, so upgrades, backups and capacity planning become your job.
Weaviate
In a Qdrant vs Weaviate comparison, Weaviate is a self-hosted vector database with its own OneClick page. Qdrant's README highlights filtering support on payloads and a Rust implementation.
Milvus
Milvus is another self-hosted vector database on this site. Qdrant runs here as a single container with one storage volume, with an API key enabled from the first boot.
Chroma
Chroma is another self-hosted option with its own OneClick page. In this template Qdrant ships with a web dashboard and a REST API protected by a generated key.

Ready To Own Your Vector Search?

Qdrant on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own your embeddings. Stay in control.

Hear what people are saying about us

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Is Qdrant free and open source?

Yes. Qdrant is licensed Apache-2.0, so the server itself costs nothing in licences. xCloud bills for the dedicated Cloud VPS that runs it. Qdrant Cloud, the vendor's own managed service with a free tier, is a different product, and this is not that service.

Can I run Qdrant with Docker?

Yes, and upstream's quickstart runs it that way. This template does it for you: the official qdrant/qdrant 1.19.1 image pinned by digest, with qdrant_data mounted and HTTPS in front. It is Qdrant Docker hosting with a generated API key, without writing the compose file.

How much RAM does a Qdrant cloud server need?

Qdrant's template floor is 1024 MB of RAM, 1 CPU core and 4 GB of disk, with the 6 GB Cloud VPS sold on top for a Qdrant cloud database. Vector count, dimensions, indexes, payloads and query load decide real needs, and production often takes much more.

Does Qdrant have a web dashboard?

Yes. The template publishes the dashboard at the /dashboard path of your domain. It asks for the same API key you use in the api-key header, so you can create a collection or inspect points from the browser without writing a client first.

How do I secure a self-hosted Qdrant with an API key?

This template enables it for you: a 48-character administrator key is generated at first boot and required on every request, sent in the api-key header. To rotate it, change the key in the Environment editor, Save and Redeploy, and update every client at once.

Is Qdrant a good Pinecone alternative?

It is an Apache-2.0 vector database you can run on your own server. Qdrant's data model of collections and points with payloads is its own. Test your embeddings and filters on it, because this page makes no performance or cost claim against Pinecone.

How do I back up Qdrant?

Take a backup of the qdrant_data volume, which holds collections, payloads, indexes and snapshots. For consistent online copies use Qdrant's snapshot APIs and copy the snapshots off the server. Test a restore before you rely on any backup procedure.

How do I update Qdrant?

Updates are deliberate. New installs stay pinned to 1.19.1 and its digest, and a catalogue re-sync does not upgrade existing installs. You upgrade by adopting a newer xCloud template version: export snapshots first, read Qdrant's upgrade notes, keep the qdrant_data volume, then verify collections and a query. Deprecated search endpoints are removed in this release.

Is the Qdrant gRPC port open?

No. Only the REST API and dashboard on port 6333 are published, through xCloud's HTTPS proxy, because a database should not be exposed without authentication. gRPC on port 6334 stays private inside the template network, so clients must use the REST API.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.

Ready to Own Your Vector Search?

Connect your first server in minutes. No plan you have to grow into.