We’re excited to share Code Compare 5.5 R1, the latest update to our code comparison and merge tool. This release adds integration support for Visual Studio 2026, so teams can compare changes and resolve merge conflicts directly within the IDE workflow they already use.

We are happy to announce the release of Review Assistant 4.3, introducing support for integration with Visual Studio 2026 and a more practical permissions model for viewing project reports.

Consecutive repeating URL segments require ordered comparison logic rather than pattern matching shortcuts. This guide demonstrates how to split URLs into arrays, preserve sequence with ordinality, and use LAG() to detect repeats in Trino SQL—delivering accurate results across large-scale datasets.

Not all SQLite ODBC drivers deliver the same level of reliability. This guide compares leading options in 2026, examining SQL support, cross-platform compatibility, and real-world performance so you can select a driver that works seamlessly with your reporting and analytics tools.

This guide shows how to scale a CLI query tool across multiple databases in a clear and practical way. It explains why SQL Server, MySQL, Oracle, and PostgreSQL should be your first focus, how to build reliable CLI automation, and when it makes sense to extend support to data warehouses like Redshift.

Boolean columns look harmless, until they force PostgreSQL to read half your table to answer a simple query. This guide shows how to stop the scan, design an index the optimizer will actually use, and restore fast performance even when your dataset grows into the millions.

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.