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Navicat Premium is a set of database management tools for Windows,macOS and Linux operating systems, and supports MySQL,MariaDB,MongoDB,SQL Server,Oracle,PostgreSQL and SQLite databases. It is also compatible with cloud databases such as Amazon RDS,Amazon Aurora,Amazon Redshift,Microsoft Azure,Oracle Cloud,Google Cloud and MongoDB Atlas.

Even if your company is still relatively small, it may have exceeded the database you originally used. When this happens, the new application will connect to a larger, stronger database. At the same time, the original database will continue to play a (reduced) role in business activities. Eventually, you need to manage a variety of databases, each with its own features, dedicated syntax, and connection protocols.

Managing multiple databases requires using multiple client applications, or finding an application that can accommodate all the databases you use. Navicat Premium is one such tool. Not only does it support most major database management systems (DBMS), but it is also one of the few tools that can connect to all of these systems at the same time!

In today's article, we will examine some of the challenges of managing multiple databases and provide some practical examples of how to overcome them using Navicat Premium.

Connect to multiple databases

Establishing connections to multiple databases is not easy because each database product implements its own connection parameters. For example, some databases require a default database, while others do not. Navicat eliminates these differences by providing a consistent connection dialog for each database type, with only minor changes between screens. The following is a comparison of the new connection dialog boxes for MySQL on Windows and SQL Server on MacOS:

For more information about connecting to multiple databases, see the related article (click here).

Query multiple databases

In terms of SQL queries, most DBMS supports a standardized set of SQL statements and functions. In addition, many database vendors try to distinguish their products by including an additional set of extended SQL capabilities. For example, a PivotTable is a statistical table that aggregates data from a wider range of tables, such as databases, spreadsheets, or business intelligence programs. This summary may include sums, averages, or other statistics, and PivotTable reports are grouped together in a meaningful way.

Database support for PivotTable reports varies widely from DBMS to DBMS, as follows:

PostgreSQL is an object-relational database management system that allows you to create PivotTable reports using the tablefunc module.

MariaDB is a branch of MySQL that allows you to use the PivotTable of the CONNECT storage engine.

Microsoft Access supports PivotTable queries called crosstab queries.

Oracle databases and SQL Server support PIVOT operations.

Some popular databases (such as SQLite) that do not directly support data perspective can usually use embedded functions, dynamic SQL, or subqueries to simulate data perspective.

In Navicat, you can query multiple databases with a single statement, as long as you can join tables on public fields, and all databases included in the query support this syntax:

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