Your ORM choice shapes your app’s performance, scalability, and future growth. Pick the right one, and your app runs smoothly, scales with ease, and handles complex queries without breaking a sweat. Pick the wrong one, and you’re in for a world of late-night debugging sessions you didn’t sign up for. For most.NET developers, the decision often comes down to NHibernate vs Entity Framework Core (EF Core).

If you’ve ever worked with SQL Server databases, you know how vital string manipulation is to day-to-day workflows. Whether extracting specific details, reformatting text, or cleaning up inconsistent data, having the right tools isn’t just helpful—it’s essential. That’s where the SUBSTRING() function comes in. It’s one of the foundational tools for handling text in SQL Server, allowing you to isolate specific parts of a string with precision and ease.

SQL Server Data Tools (SSDT) has long been the default for SQL Server development, but is it still enough? As modern databases become more diverse, SSDT’s rigid focus on SQL Server, lack of advanced performance tools, and limited cross-platform support leave many teams struggling. If your database needs are growing beyond SQL Server—or you want more automation, performance optimization, and flexibility—you’ll need an upgrade. So, what’s replacing SSDT?

Dealing with different data sources without efficient data integration tools turns valuable information into a liability. These solutions give you a unified view of your data, eliminating silos and ensuring data consistency, accuracy, and accessibility. But, where do you start? Navigating the 2025 data integration market, with the shift towards scalable cloud platforms, self-service integrations, and AI automation, can be tough.

SQL Server data types are the foundation upon which your entire database structure rests. They define the kind of data you can store in each column, from simple integers and text strings to complex date/time values and binary data. Picking the right SQL data type means your data is stored efficiently, queries run fast, and your information stays accurate. Using an overly large data type wastes space and slows things down, while using a too small type risks data loss or errors.

As someone who’s worked with SQL Server databases, you know there’s no margin for error. A single discrepancy between environments can cascade into a failed deployment, broken workflows, or inaccurate reports. And let’s face it, manually comparing schemas and data isn’t just tedious; it’s risky. This is where industry-leading database comparison tools come to the rescue, turning a frustrating, time-consuming process into a smooth and efficient one.

In the early days, people debated how safe it was to store their money in the bank; now, we debate running databases on Kubernetes. Over the years, Kubernetes has evolved significantly, transforming into a capable platform for handling various workloads, including stateful ones. In this blog, I will consolidate some of the best arguments from both sides and provide you with some points to discuss with your team lead in your next conversation. It's an interesting topic with varying answers.

Today, we’re thrilled to share the latest updates on VictoriaLogs, your trusted open-source solution for efficient and user-friendly log management. Whether you’re just discovering VictoriaLogs or have been using it for a while, this post will walk you through the recent enhancements and give you a sneak peek at the much anticipated cluster version that’s on the horizon.

The Slack Salesforce integration offers one connected workspace where your team can share real-time updates on deals, collaborate on sales strategies, and receive instant notifications on key Salesforce events. Instead of switching between platforms and dealing with fragmented communication, you get a unified view of your sales pipeline and improve team communication. Setting this up isn’t complicated.