Data visualizations and dashboards can be developed to help communicate the insights contained in enterprise data to all stakeholders. The tool can be used to reverse engineer databases to create entity-relationship (ER) diagrams.Ĭonnecting to the diverse supported databases enables DBAs to perform many management tasks across platforms from a single tool. In addition to its use in building and analyzing queries, Aqua Data Studio provides teams with other productivity-enhancing features. This means that there is only one tool to learn and reduces the need for swapping tools to address multiple databases. Support for over 40 database platforms from a unified platform greatly improves productivity for the whole team. The multi-platform nature of Aqua Data Studio makes the functionality of its query analyzing and building tools even more impressive. Combined with the Query Analyzer, the Visual Query Builder gives a database team the necessary tools to ensure their SQL statements are efficient and effective. Work can be saved in Query Builder files so they can be shared with other users. Multi-database queries can be created for platforms, like MySQL and SQL Server, that support them. The tool uses query SELECT decks as the basis for query building which gives developers a large degree of freedom for rearranging statement elements within a query. Once connected to a data source, the Visual Query Builder provides an intuitive interface that simplifies the process of developing complex queries. It offers a time-saving and efficient method of building queries across the database environment. ![]() The intelligent interface bases the SQL statements it creates on the current database schema, tables, views, and columns. The Visual Query Builder is designed to simplify SQL query building with the ability to drag and drop multiple tables, views, and their columns to generate SQL statements. Once again, Aqua Data Studio fits the bill by providing versatile and powerful query building capabilities. They need tools that facilitate this endeavor and streamline the process. Query Buildingīuilding queries is another activity regularly practiced by database developers. The versatility of the Query Analyzer gives database teams a powerful method of investigating queries as they are being developed to avoid errors and improve team productivity. Delimited data saved as a series of delimited data rows.Once you have executed a query, the results can be saved in a variety of formats for later use or pasted into another window or application. Client statistics that display execution statistics for the given statement or script.Execution plans that can be displayed with detailed statistics regarding the statements execution cost.Grid results which can be sorted, searched, saved, and printed.Oracle DBMS_OUTPUT which uses the Oracle facility for printing messages from a query. ![]()
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