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The latest News and Information on Databases and related technologies.

Devart Data Access Components add support for the latest IDEs and database platforms

The latest update to Devart Data Access Components is here, bringing support for RAD Studio 13 Florence Release 2, Lazarus 4.8, Microsoft SQL Server 2025, MySQL 9.7.x, and NexusDB 4.75.20. The release also introduces new security and authentication capabilities, along with improvements to transaction management, database connectivity, data handling, and performance.

Database change management on Databricks: migrations, environments, and AI-generated change

You wouldn’t ship untested SQL Server database changes – Why is Databricks different? Databricks is where the data estate is growing, and increasingly where AI workloads run and generate change. But schema change there still happens the hard way: views and stored procedures managed through manually versioned scripts, drift between workspaces discovered when a deployment fails, and no reliable record of what changed, when, where, or why. As AI raises the volume and speed of schema change, these gaps widen.

VictoriaTraces in VictoriaMetrics Cloud: Complete Observability is Here

Earlier this year, we launched VictoriaLogs in VictoriaMetrics Cloud, bringing fast and cost-effective log management to everyone. Today we launch the final major step toward full observability: VictoriaTraces is now available to all cloud users. With this release, you can now manage all three signals, metrics, logs, and traces, in one place with the predictable pricing, reliability, and the operational simplicity you’ve come to expect from VictoriaMetrics.

How Linux readahead works, and the two ways to change it

Most of the time, when we read a file, we do not think much about what happens underneath. You ask for some bytes, you get some bytes. But when getting data off the disk efficiently is at the core of what your application does, what happens underneath starts to matter a great deal, and two identical read() calls can differ enormously in what they cost. So in this post we are going to look at one of the Linux kernel’s optimizations for reading files: readahead.

Oracle database DevOps: automating schema changes for Oracle

Learn how to safely automate Oracle schema changes. Discover what makes Oracle database DevOps unique. Automating Oracle schema changes safely means considering what makes Oracle different. A real Oracle database DevOps practice pairs version-controlled changelogs and pipeline integration with policy-as-code protection, pre-flight checks, and tested rollback scripts, so schema changes deploy with the same speed and safety as application code.

Database governance in the AI era: Framework, risks and best practices

AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.

Test Your MySQL 8.4 Upgrade With Real App Queries

Before you start, paste this into Claude Code, Cursor, Codex, Gemini CLI, Kiro, or any assistant that can read a URL and run commands: The install-speedscale skill installs proxymock for your operating system and walks you through proxymock init. It stops when you need to complete browser sign-in, keeps your recordings on your machine, and connects the proxymock MCP server so your assistant can run the prompts later in this article.

Announcing Redgate Flyway Enterprise's advanced capabilities for Snowflake now in Preview

Snowflake has become a core part of how many teams store, model, and analyze their data. As more of the business comes to depend on Snowflake, the schema needs the same governance and control as any other production system. Too often, schema change in Snowflake happens through ad hoc scripts, tribal knowledge, or direct access in Snowsight.

Test PostgreSQL With the Queries Your App Actually Runs

The first number from my local PostgreSQL 16 test was roughly 1,600 statements per second. It looked impressive. It was also the least useful result in the run. The useful part was the workload. It came from queries the demo app had actually sent: the same prepared statements, parameters, reads and writes. A synthetic benchmark tells you how PostgreSQL handles a synthetic workload. It does not tell you whether your migration just broke the UPDATE your app depends on.

What's new in dbForge 2026.2: New PostgreSQL Debugger, visual editors, broader context for AI Assistant, and much more

Here comes dbForge 2026.2, a new release of our ever-evolving ecosystem of AI-powered database lifecycle management solutions—and it’s packed with useful updates you definitely shouldn’t miss! These include a brand-new embedded PostgreSQL Debugger in dbForge Studio, handy visual object editors for PostgreSQL, broader context awareness in dbForge AI Assistant, enhanced SQL development and schema comparison capabilities, and a new, simplified product activation flow.