Amazon RDS Proxy now supports SQL Server 2022
Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQL Server instances running major version 2022.
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Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQL Server instances running major version 2022.
A deep dive into how D1 architected its control plane to scale and manage millions of databases, while keeping data plane query operations at the edge. We share guiding principles on how to build on the Developer Platform effectively.
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest Cumulative Updates (CU) for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2025 CU8 KB5104822 (RDS version 17.00.4075.5.v1).
What happens when the cloud isn’t always an option? This week, The Upload covers SQL Server on Azure Local, new Azure VM lifecycle guidance, and Aspire 13.6 updates that make distributed app debugging easier.
dbForge 2026.2 is out, and for anyone who writes SQL every day the headline is simple: dbForge AI Assistant now has a free Express edition. You can generate, explain, fix, and optimize SQL with AI directly inside your dbForge tool, working against your actual schema, without buying a subscription…
Learn all about what's new after the conference! ✅ Chapters: 0:00 Intro and background on SQLCon/FabCon in Barcelona 2026 1:04 Hybrid and migration updates 3:12 Database Hub updates 3:40 Hyperscale updates 4:30 SQL DB in Fabric updates 6:00 Tools, agents, developer updates 8:15 Across the…
As text-to-SQL systems move beyond demonstrations toward real-world deployment, ambiguity in user questions becomes a primary source of errors. Such ambiguities are often subtle, domain- or data-specific, and can silently cause system outputs to deviate from the user's true intent.
Richard Tomlinson, who leads product marketing for Databricks' business intelligence...
LLM agents for clinical text-to-SQL applications reason autonomously over multiple steps but cannot assess whether their own reasoning or outputs can be trusted. In high leverage applications such as healthcare, this presents a critical risk where system mistakes can be costly.
CedarDB is a database system that delivers unmatched performance for transactions and analytics, from small writes to handling billions of rows. Built on cutting-edge research to power today’s tools and tomorrow’s challenges.
Agentic Text-to-SQL systems can interact with users to clarify underspecified queries before generating SQL. However, a correct execution result does not necessarily imply that the agent has adequately resolved the underlying underspecification: the agent may silently make unverified assumptions…
Document databases such as MongoDB are core infrastructure for modern applications, and natural-language interfaces to them---text-to-MQL---would let non-experts query complex, semi-structured data without mastering the query language.
An anonymous reader quotes a report from Ars Technica: Rendering Doom in a database is obviously a bad idea," Lukas Vogel writes in a lengthy blog post explaining how exactly he managed to render Doom using an SQL database. OK, that's not entirely accurate.
Reg hack learns the meaning of 'Be careful what you wish for'
1,300 lines of SQL querying renders accurate bitmapped views of Hell at 35 fps.
Data agents over structured sources must fit database schema into the model's context window. Large catalogs can span many databases and thousands of columns, so cost constraints may require choosing between table coverage and serialization detail well before the context window is full.
Learn about vector indexing in Microsoft SQL from the PM and engineering team. ✅ Chapters: 0:00 Intro to Product Management and Engineering vector team 1:13 What things were customers asking for.
Cloudflare Basin is built on Apache Iceberg and R2 Object Storage. With general availability, developers can ingest, manage, and query large datasets at scale without paying data egress fees.
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