This guide explains how to subtract days from dates across MySQL, H2, and other databases with different SQL dialects. Learn how to standardize behavior using compatibility modes, wrapper functions, and unified tooling so the same logic works reliably even when multiple database engines run side by side.

This guide shows how to aggregate across multiple related tables without inflating counts or degrading performance. Learn why standard joins produce misleading totals, how separate aggregations fix the math, and how to keep the query efficient even as data volume and table relationships grow.

The MySQL ODBC driver is what keeps BI tools, reporting systems, and ETL pipelines connected to MySQL without errors. Teams have depended on it for years, and it’s still vital...

This guide explains how to reconstruct the state of related data at a precise moment using temporal LEFT OUTER JOINs in SQL Server. Learn how synchronized time clauses prevent mismatched records, why historical joins produce unexpected NULLs, and how to keep queries accurate and efficient against large history tables.

Most database problems get blamed on queries, schemas, or infrastructure, and rarely on SQL Server ODBC drivers. Fair enough, those components often break. But in...

PostgreSQL ODBC drivers quietly decide whether analytics fly or fail. In 2026, they control query speed, dashboard reliability, and ETL stability. This guide exposes what actually matters, compares leading PostgreSQL ODBC drivers, and helps teams choose a connector that survives real production workloads across tools, platforms, and scale globally today.

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.