Vectors, Analytics, and the End of ETL Part 3 of 4 - The Multimodal Database Series In Part 1: The Polyglot Tax we laid out the fraud detection scenario: a transaction comes in, and before you approve or deny it you need five checks. Order history (relational). Device fingerprint (JSON). Connections to fraud rings (graph). Transactions that loo...

When JSON Met Graph Part 2 of 4 - The Multimodal Database Series A note on naming. Throughout this series, when we say "SQL Server 2025" we also mean Azure SQL. The multimodal capabilities we discuss - native JSON, graph, vector, and columnstore - are available across both the on-premises engine and the Azure SQL family. In Part 1 we descr...

Part 1 of 4 - The Multimodal Database Series This is a four-part series about what happens when a single database engine handles relational, document, graph, vector, and analytical workloads natively - and what you stop paying for when it does. You spin up a database, point an agent at it, and start building. The first few tables go fast - user...