We are excited to announce the release of SSIS components Data Flow Components version 4.0, an update that delivers expanded compatibility with the latest development tools and database platforms.

Learn the differences between DataReader and DataSet in ADO.NET. Compare connected vs disconnected data access and how dotConnect boosts productivity.

This article explains how HubSpot QuickBooks integration connects CRM and accounting systems to keep customer, invoice, and revenue data aligned. It covers how the integration works, key features, setup steps, common challenges, and best practices organizations use in 2026 to improve billing speed, reporting accuracy, and operational visibility.

This guide explains how to use PostgreSQL AI to write, review, and optimize SQL queries more efficiently. It shows where AI fits into real PostgreSQL workflows, how it reduces debugging and trial-and-error, and how teams can apply AI safely while keeping full control over query execution and database performance.

Learn what SQL TINYINT is, its C# equivalent, and how to map SQL Server data types correctly to avoid bugs and improve performance.

This guide explains best practices for using HubSpot–Slack integration without losing visibility or control. It shows how to keep CRM activity actionable inside Slack and where Devart ODBC Drivers fit when teams need stronger data access, reporting, and scalability beyond the native connector.

How about ending this year on a major note? Meet dbForge 2025.3, our new release that covers the entire dbForge product line and brings lots of useful stuff to the table. Without further ado, let's take a look!

We are pleased to announce the release of SSIS Data Flow Components Version 3.2. This latest version introduces significant updates to enhance compatibility with modern databases and bolster security features.

We’re excited to introduce dotConnect 2025.1, now with full support for the latest .NET and Visual Studio, faster performance through batch updates, built-in OAuth for easier cloud integration, and a streamlined provider lineup. This release also debuts a unified key-based licensing system that simplifies activation, maintains support for existing customers, and offers new users a clearer, more flexible model.

This article explains how Oracle AI Database 26ai improves SQL performance using built-in AI. It covers autonomous query tuning, generative AI for SQL creation, and predictive workload optimization. Together, these capabilities reduce manual tuning, stabilize execution plans, and help teams deliver faster, more reliable Oracle SQL performance at scale.