Uploaded November 2025 | Updated September 2026, 1 week ago

---

Learn how Veeam Software delivers planet-scale semantic search using Azure Cosmos DB. In this session from Microsoft Ignite 2025, Johan Huttenga (Staff Solutions Architect) and Zachary Rossman (Tech Lead, AI & Security) share how Veeam leverages advanced vector search and cost optimization strategies to power massive multi-tenant workloads.
Key takeaways from this clip:

Why vector search in Cosmos DB is different—and built for scale.
How graph-based ANN algorithms and product quantization enable fast, accurate searches.
Sharded vector indexes for low latency, cost savings, and tenant isolation.
Horizontal scalability for adding tenants without complexity.
Cost optimization techniques:

Reducing vector embedding size from 6 KB to 1 KB.
Using fewer dimensions and quantization for 5x cost reduction.


Real-world impact: delivering high-performance semantic search that’s financially viable for Veeam and its customers.

👉 Watch now to see how Veeam combines AI, security, and Cosmos DB innovation to achieve global-scale search.

#AzureCosmosDB #AI