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SQL Server AI marks the beginning of a new era for data-driven businesses. What was once thought of as a future prediction is now actively transforming database management. With outstanding features like natural language processing, predictive analytics, and automated error handling, managing data with artificial intelligence in SQL Server is faster, easier, and better. If you are a database developer, data analyst, or DBA, using SQL Server AI is no longer optional; it’s a productivity necessity.

Imagine telling your database to get the best five customers by order from six months ago, and you get a well-optimized query instantly. Zero coding. No Googling syntax. Just results. Welcome to the future of database management with MySQL AI. MySQL Artificial Intelligence is a strategic solution transforming the traditional method of managing databases.

According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.

Knowing how to create a database is no longer just a backend task; it’s a core skill for building systems that perform under pressure and scale with complexity. With global data volumes expected to reach 175 zettabytes by 2025, developers must design systems that turn raw information into something meaningful, accessible, and usable. But what does that look like in practice? How do you go from raw data requirements to a reliable schema? Which engine should you choose?

In today’s rapidly evolving world of development, Database DevOps is becoming an essential practice. It combines the agility of DevOps with the intricacies of databases, all with the goal of enhancing speed, stability and collaboration when it comes to database changes. However, before diving into Database DevOps there are some key concepts your team should get acquainted with. Here are 10 key things you should know to truly understand and reap the benefits from Database DevOps.

Q2 2025 has brought another wave of improvements to VictoriaMetrics Cloud! If you tuned in to our latest Quarterly Virtual Meetup, you saw firsthand how we’re making observability even more accessible, powerful, and interactive.

NetSuite connectors unlock the real power of your ERP by bridging gaps between systems, data, and decisions. According to McKinsey, only 1 in 5 companies capture more than half the expected value from their ERP investments. The missing link? Integration. Core modules alone are not enough. Today’s ERPs must serve as connected command centers, linking systems, syncing data, and supporting real-time decision-making. NetSuite is no exception.

With the rise of AI and machine learning comes data. Lots of it. For organizations today, AI is radically changing the way data is accessed, maintained and operationalized. For heads of architecture and development teams, it offers opportunity and responsibility.

Modern cloud solutions mean much more than just data storage. Cloud technologies cover virtual services, including analytics, databases, networking, servers, and storage via the internet. Such a giant as Microsoft is among the most prominent cloud providers with its Azure platform. “Platform as a Service,” or PaaS, is a popular solution for database specialists. It is a powerful database engine that allows you to perform most database management routines.