I connected DAX Studio to a published Power BI semantic model, turned on Server Timings and ran a DAX query. When the query finished I clicked the Info button at the top of the Server Timings pane, ...

Internal Zilliz benchmarks show that purpose-built Milvus outperforms PostgreSQL with pgvector, delivering 60% lower latency and 4.5 times higher throughput under identical vector search conditions.

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

As today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...

Workload characterization in DBMS tuning involves analyzing query composition and runtime statistics. Query-level approaches include features from query text, query plans, and data distribution, used ...