![]() It is especially useful when generating Histograms to visualize the distribution of data, another new feature in Aqua Data Studio 16. New data can now be pasted directly from a spreadsheet application like Microsoft Excel into Aqua Data Studio’s visualizations as a new data source, or used to replace existing data.Īnother new feature, Binning, allows users to group measure values into collections and use those collections as discrete dimensions. Trend lines now include confidence bands to indicate uncertainty with noisy or incomplete data, and intelligently fill in missing date information so that gaps in the data no longer cause gaps in trend lines. The addition of Treemaps brings visualization for hierarchical data. That makes it easy to spot patterns deep in the data that would be otherwise impossible to see.”Īdditional chart enhancements in Aqua Data Studio 16 make adjusting charts easier, including drag-and-drop reordering of fields. “We’ve added Treemaps, for instance, which allow you to visualize thousands of colored data points on a single screen. “As companies store ever-larger amounts of data, teams need smarter ways to understand those numbers and put them into action,” explains AquaFold’s CEO, Niels Gron. Along with enhancements to the Query Analyzer, Visual Explain, FluidShell, and support for newer versions of natively supported database vendors, version 16 is the most streamlined and efficient Aqua Data Studio to date. The latest version introduces new chart types, and more options to current charts, making it quicker and easier for users to understand and execute on their underlying data. has released Aqua Data Studio 16, a major upgrade to its universal database management and analytics software, giving users more charts, features, capabilities, and options to produce the data visualizations they need. Create charts based on pivoted data.SUNNYVALE, Calif., March 23 - AquaFold, Inc. Update all charts in real time based on the query result set. Leverage the rich set of visual options including joins, group bys, sort order, and equality comparisons.īuild Charts - Build great-looking 2D and 3D charts by choosing from a comprehensive range of chart types and customize to meet specific needs. Select tables and columns from the graphical user interface. Visually Build Queries - Construct sophisticated database queries without ever writing a line of SQL. Filter and archive queries to ensure efficient scaling. Perform advanced analysis by viewing query results in text, grid, pivot, and form views with quick filtering and one-click export to Excel.Īccess SQL History - Quickly retrieve and reuse any previously executed queries with the automatic recording of all queries. Automatically format SQL, color syntax, and complete SQL. Quickly convert models from one database platform to another.Īnalyze Queries - Connect to any database and execute SQL queries effortlessly. Reverse engineer existing databases to visualize a database model. Forward engineer to model tables, views, indexes, constraints, and relationships and generate SQL scripts. Model Entity Relationship Diagramsĭesign physical database models. Easily alter data, and add and delete rows using an editable, Excel-like grid. Edit Data in Excel Style GridĮdit the result-set of an executed query on a data grid using a convenient graphical interface. Apply filters, data labels, table calculations, and statistical analysis with R to create charts to improve business decisions, limit risk and solve difficult problems. Identify patterns and trends to find opportunities for further analysis. Visually Analyze DataĬreate engaging data visualizations and dashboards to explore and share with others. View query results in text, grid, pivot, and form views and export to common formats. Automatically format SQL, color syntax, and complete text to save time in writing SQL statements. Easily Edit SQL CodeĬonnect to any database server and execute SQL queries. Reverse-engineer databases into entity relationship diagramsĭrag and drop tables and views into a visual whiteboard, display existing and create new table joins, select columns, and aggregate properties such as where clauses and subqueries.Compare schema, data, query results, files, and folders.Create visualizations and dashboards to analyze data with drag-and-drop.View, filter, and edit query results in Excel-like grid with copy-and-paste.Easily develop, execute, and share SQL statements.Use a single database tool to manage many tasks for numerous data sources. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |