Which data platform technology is known for being globally distributed and providing subsecond query performance?

Azure Cosmos DB is known for being a globally distributed database service that provides subsecond query performance. This technology is designed with key features such as multi-region replication and automatic failover, which allow it to provide consistent low-latency responses regardless of the geographical location of the users. Its architecture is optimized for high throughput and low latency, making it ideal for applications that require real-time data processing and quick access to information.

Cosmos DB supports various data models, including document, key-value, graph, and column-family, which allows developers to use the best model for their specific application needs while benefiting from the extensive scalability and availability features. The underlying design of Cosmos DB ensures that even as the volume of data scales significantly, users experience fast query performance, often within milliseconds, due to its partitioning and indexing mechanisms.

Other data platform technologies mentioned do serve important purposes but do not have the same level of global distribution and latency optimization as Azure Cosmos DB. For example, Azure SQL Database offers high performance and availability but is primarily aimed at relational database workloads and is dependent on the geographical region where it is deployed. Azure SQL Data Warehouse, now known as Azure Synapse Analytics, is optimized for data warehousing but is not primarily focused on subsecond query performance