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TL;DR - Qdrant
- Qdrant is a vector database for AI similarity search applications
- It stores and queries high-dimensional vectors with filtering support
- Free and open-source, Cloud version available
Pricing: Free plan available
Best for: Growing teams
Score: 88/100
Pros & Cons
Pros
- Fast performance
- Rust-based
- Good filtering
- Open source
- Self-hostable
Cons
- Smaller community
- Cloud newer
- Documentation improving
- Fewer integrations
- Less known
Key Features
Vector search engineHorizontal scalingFilteringHigh availabilityAuto-healingBackup and recoveryOpen-sourceOn-premise optionAir-gapped deploymentMulti-cloud support
Pricing Plans
Managed Cloud (Free)
Free
- 1 GB free forever cluster
- No credit card required
- AWS/GCP/Azure regions
- Horizontal and vertical scaling
- Monitoring and alerting
- High availability
- Backup and disaster recovery
- Zero-downtime upgrades
- Unlimited users
Managed Cloud (Paid)
- Usage-based pricing
- All free features
- Standard support and uptime SLAs
- Premium support available
Hybrid Cloud
- All Managed Cloud benefits
- Security and data isolation
- Optimal latency
- Standard or Premium support
Private Cloud
- All Hybrid benefits
- On-premise deployment
- Maximum data sovereignty
- Air-gapped environments
- Premium Support included
About Qdrant
By Toolradar Team·
Qdrant is an open-source vector similarity search engine. Features horizontal scaling, filtering, and high availability for production AI applications.
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Qdrant FAQ
Is Qdrant free?
Yes, Qdrant offers 1 GB free forever on Managed Cloud with no credit card required. Open-source version is also free to self-host.
Can I deploy Qdrant on-premise?
Yes, Private Cloud option allows on-premise deployment with maximum data sovereignty and air-gapped environments.
What clouds does Qdrant support?
Qdrant Managed Cloud supports AWS, GCP, and Azure with multiple regions available.
Is Qdrant open-source?
Yes, Qdrant is open-source under Apache 2.0 license and can be self-hosted.
Source: qdrant.tech