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title, weight, aliases
| title | weight | aliases | |
|---|---|---|---|
| Qdrant Cloud | 20 |
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About Qdrant Cloud
Qdrant Cloud is our SaaS (software-as-a-service) solution, providing managed Qdrant instances on the cloud. We provide you the same fast and reliable similarity search engine, but without the need to maintain your own infrastructure.
Transitioning from on-premise to the cloud version of Qdrant does not change how you interact with the service. All you need is a Qdrant Cloud account and an API key for each request.
Our official client libraries can help. For example, if you use the Python Client you can take advantage of the built-in API key. With that client, you provide the API key only once, when the QdrantClient instance is created.
Available as of v1.8.2
You can also attach your own infrastructure as a private region on the Hybrid Cloud. Once attached, you can control this cloud using the same tools and UI that you use for other cloud providers. For details, see our Hybrid Cloud documentation.
Cluster configuration
Each instance comes pre-configured with the following tools, features, and support services:
- Uses the latest available version of Qdrant.
- Supports upgrades to later versions of Qdrant as they are released.
- Includes monitoring and logging to observe the health of each cluster.
- Configurable through the Qdrant Cloud Console.
- Vertically scalable.
- Available natively on AWS and GCP, and Azure.
- Available on other providers if you use the Hybrid Cloud.
Getting started with Qdrant Cloud
To use Qdrant Cloud, you need at least one cluster. You can create one in the following ways:
- Create a Free Tier cluster with one node and a default configuration (1 GB RAM, 0.5 CPU and 4 GB Disk). This option is perfect for prototyping. You don't need a credit card to join.
- Configure a custom cluster with additional nodes and resources. For this option, you need billing information.
If you're testing Qdrant, We recommend the Free Tier cluster. The capacity should be enough to serve up to 1 M vectors of 768 dimensions. To calculate your needs, refer to our documentation on Capacity and sizing.
We recommend that you use the Free Tier cluster for testing purposes. The capacity should be enough to serve up to 1 M vectors of 768 dimensions. To calculate your needs, refer to our documentation on Capacity and sizing.
Support & Troubleshooting
All Qdrant Cloud users are welcome to join our Discord community. Our Support Engineers are available to help you anytime.
Paid customers can also contact support through channels provided during cluster creation and/or on-boarding.