Overall, Microsoft Azure Cosmos DB is phenomenally easy to use; it is very good. As NoSQL databases go, or as an Azure product, it's great. The search, configuration, and ease of cost management have been a really great experience. The efficiency of search capabilities is significant, particularly when it comes to the flexibility of conducting in-depth, almost recursive searches that are both efficient and cost-effective. We are currently part of an early access program for a new feature called Fleet Spaces. This feature allows us to manage costs across different tenants effectively. In our setup, each customer has a dedicated tenant in Microsoft Azure Cosmos DB, which means we do not share databases. This approach provides the additional security and restrictions our customers desire, and it helps avoid issues related to noisy neighbors. However, the challenge with this model is that we cannot easily share costs between tenants. Fleet Spaces offers a solution that combines the benefits of multi-tenancy while still isolating each customer's tenant. This is especially important for large enterprises and marketing companies that prefer to keep their content completely separate from others. Additionally, we can share bursts of resources across these tenants, allowing us to gain some advantages of multi-tenancy without compromising security. The vector search functionality is also noteworthy, as it provides all the necessary tools for implementing AI-driven search capabilities. My architect could probably add more insights, but overall, we are pleased with the solid uptime and reliability of this new feature. The speed of search with Microsoft Azure Cosmos DB is 10 to 100 times faster, and while I don't have a metric yet for recall, I can say that the actual ability to get more content does not have a static metric currently.
