Case Study: Qdrant achieves scalable, reliable unstructured data retrieval with Amazon Web Services

Facilitating Reliable Unstructured Data Retrieval at Scale Using AWS with Qdrant

Qdrant is a startup building a high-performing vector similarity search database to power next-generation generative AI applications. Its challenge was to deliver fast, scalable, and easy-to-use unstructured data retrieval for enterprise use cases like recommendations, anomaly detection, and facial recognition while keeping costs low.

Using Amazon Web Services, Qdrant launched a commercial managed cloud version of its open-source database in 2023 and made it available on AWS Marketplace. The solution improved reliability, scalability, and performance with low-latency search and reduced resource usage, helping Qdrant meet large data demands at affordable prices and expand its offerings with new features.

Qdrant

Andre Zayarni

Co-Founder and CEO