SQL Data Generator is a fast, simple tool for generating test data.Using table and column names, field length, data types and other existing constraints SQL Data Generator immediately provides sensible generators. The generators can be customized to meet your requirements, and include a scriptable Python generator.

Tracking dependencies by hand traditionally relies on the personal knowledge of whoever designed the database. However, this person is often no longer available. Automated SQL Server dependency tracking and reporting minimizes downtime and ensures business continuity.

SQL Source Control makes database version control seamless. It links your databases to your existing source control system straight from SSMS, so you can enjoy the benefits of source control without having to disrupt your workflow.

SQL Packager scripts and compresses both the data and schema of a database into a deliverable .exe file. It's highly customizable options enable you to generate package scripts to exactly fit your needs.

The SQL Comparison SDK provides a means to compare and synchronize database schemas and data from within your own applications, with a greater degree of control than the command line interfaces.

SQL Search is an add-in for SQL Server Management Studio that lets you quickly search for SQL across your databases.

A collection of 64 date, string and numeric functions including date arithmetic, working days calculations, instant date and time series tables, instant number series tables, random date & time selection, improved random number generators, text processing, regular expression matching, string concatenation across rows, relative column references and much more.

A collection of advanced statistical functions e.g. for correlation testing, forecasting, interpolation etc.

A collection of windowed rolling statistics functions that work like analytic functions in Oracle to allow easy computation of running totals, rolling averages etc.

A SQL-Server based implementation of all the financial functions found in the MS Excel analysis toolpak – it faithfully reproduces the same results as the Excel-based originals.