Qdrant
Rust-powered vector search for AI at scale
Rate Qdrant
Qdrant is a high-performance vector database and search engine built in Rust, designed for massive-scale similarity search. It supports hybrid search, image and text embeddings, and offers a cloud service for easy deployment.
Pros & Cons
Pros
- New tool — early adopter advantage
- Open source — free to use and self-host
- Rich feature set with 12+ capabilities
- Free tier available for getting started
- Strong community with 33,373 GitHub stars
Cons
- No verified reviews yet — limited community feedback
Best Use Cases
Software Development
Build and ship software faster with Qdrant's developer tools and integrations.
DevOps & CI/CD
Automate workflows and streamline your development pipeline.
Team Collaboration
Enable seamless code review and pair programming across your team.
Key Features
- Cloud Inference
- Cloud Providers: AWS, Azure, GCP
- Automation API, Terraform, Pulumi, CLI
- Vertical Up & Downscaling
- Horizontal Up & Downscaling
- Topology Aware Multi AZ Setup
- Backup & Disaster Recovery
- Shard Splitting
- GPU Indexing
- Encryption at Rest and in Transit
- Private VPC Links
- Enterprise SSO Authentication
Frequently Asked Questions
What is Qdrant?
Qdrant is Rust-powered vector search for AI at scale.
Is Qdrant free?
Yes, Qdrant offers a free tier (Free Tier plan) with single node cluster and 0.5 vcpu / 1gb ram/ 4 gb disk. Paid plans start at Usage-based.
What are the best alternatives to Qdrant?
The best alternatives to Qdrant include Unkey, Trigger.dev, Parlant. The right choice depends on your specific needs and budget.
Is Qdrant open source?
Yes, Qdrant is open source with 33,373 GitHub stars. You can view and contribute to the source code on GitHub.
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