MAGNAQuery: A Powerful Multi-tool for Data Analysis
This application’s appearance is modest, but it can boast of unparalleled power in SQL query data analysis and more. This is the only application currently on the market that allows business analysts, data analysts, software developers, and everyone who works with data to quickly perform analysis that otherwise would have required them to write much more complex queries. In a few keystrokes, clicks, or taps, they can:
- Register connections with any number of databases that run on a broad range of server engines.
- Simultaneously execute any number of SQL queries and view their results in tabs, in grid or plain text format, on screen or in files.
- Compare result grids between tabs and connection windows.
- See the number and data types of columns, navigate to them, or select them.
- Navigate to specific rows.
- Search result grids for values of many data types that include text, numbers, dates and their parts, or binary values*.
- Generate a broad range of scripts and formats, from rows, columns, or disparate cells of the result grids.
- Search connected database metadata or data.
- Compare connected database schemas.
The following database engines are supported in the initial release, making MAGNAQuery an ideal tool for heterogeneous environments and data migration projects:
- Microsoft SQL Server
- Oracle
- MySQL
- PostgreSQL
- IBM DB2
- SAP/Sybase Adaptive Server Enterprise
- SAP/Sybase Adaptive Server Anywhere
The following engine support is currently in beta stage and available by special request:
- Interbase/Firebird
- Informix
Formats currently supported for the scripting of the results:
- SQL tables/variables/views, etc.
- XML
- HTML tables/selects
- JSON
It is worth re-iterating that query results and database schemas from any of these engines can be compared, in a couple of clicks or taps.
As is always the case with Zenith Elevate’s products, and unlike with some of its competitors, credentials of registered connections are secured by the strong encryption of Windows data protection API.
Also, MAGNAQuery is fully customizable, and its configuration can be shared with co-workers, by way of taking a backup of its database and restoring it on another device. Users are welcome to tailor metadata search queries to their specific requirements. Its default database back-end is MS SQL Express, but it can optionally run on a full MS SQL Server. It is quick to load and perform its functions, even on older systems**.
* Support varies from engine to engine.
** Performance of queries and searches depends on the target database server instance.