MSSQL To MySQL Converter - The Smart Way To Migrate Databases

Switching between databases, especially Microsoft SQL Server (MSSQL) and MySQL can be a long process and rather tedious when carried out manually. They usually complicate the process varying in the type of data, syntax, and the structure of the databases.

It is here that Dataloader - MSSQL to MySQL Converter has entered the scene with its fast, precise and easy user-friendly process of doing the seamless migration.

Dataloader is a powerful data import, export and conversion utility which is efficient in working with large amounts of data. It contains an MSSQL to MySQL Converter feature that will automatically transfer your information so that your data is converted having no errors or information getting lost. Upgrading, switching platforms or consolidating databases, it makes it an easy task.

Core features

Ease of Use No prior knowledge of advanced SQL needed; an easy to navigate interface will step you through it.

Data Mapping- Maps MSSQL auto-conversion of tables, columns, and data-types to their MySQL counterparts automatically.

Batch Processing- Performs at a fast rate in which large sets of data are done with great precision.

Scheduling Options - Auto-convert at the set time interval to save the time.

Error Handling – any irregularities are identified and logged to correct easily.

As to Why Use It, this section will address the question of why people should use it and why not or why it needs to be evaluated rather than just adopted without thinking.

The transition of MSSQL to MySQL is usual with respect to cost effectiveness, open-source extendibility and broader compatibility. Nevertheless, manual migration may result into business disruptions and errors in data formatting besides incurring downtime. Dataloader gets rid of these risks employing a tested, trusted strategy.

Provided you want to switch to MySQL with MSSQL without all the trouble of writing scripts, MSSQL to MySQL Converter is certainly a smart idea. It is quick, exact and uses little to no-technical input, and a good preference by business, developers, and database administrators.