Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

A Compiler-Centric Approach for Modern Workloads and Heterogeneous Hardware. Michael Jungmair Technical University of Munich ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Pacvue Agent extends the company’s AI-Powered Commerce Media OS, helping brands execute workflows up to 200x faster, achieve up to 80x faster time to insight, and improve performance by up to 54% ...

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...