![]() ![]() Then, take the output of your SQL statements and run them through powerful Unix functionality such as grep, pipelining, input/output re-direction and variable substitution to extract and transform your data any way you choose. Use the shell to connect to databases, execute queries, change history buffer and more. Learn more The All-new FluidShell Automate your database interactionsįluidShell is an interactive shell that combines the power of the SQL command line with the versatility of a Unix shell. Plus, your customized chart color properties in Aqua Data Studio are now preserved in Excel. When exporting to Excel, pivot grids are no longer limited to 65,000 rows. Instead of creating a new connection for every query window, Aqua Data Studio will acquire a connection from the pool at the time of query execution and automatically allocate and de-allocate connections as necessary. Learn more Connection Pooling Manage and Scale Your ConnectionsĬonnection Pooling allows you to share connections across multiple query windows. We've also made some core enhancements that make the app feel much snappier. We've sped up large script execution by 4x, query results by 10x, table data editor 380x and resultset compare by 850x. We've scoured our code to look for ways to improve Aqua Data Studio response times dramatically when dealing with very large data sets. Huge Performance Gains for Big Data Lightning Fast What would a new release be without significant new features? Version 12 now includes FluidShell, an interactive shell combining the best of PostgreSQL command line + Unix shell, which will greatly assist you in automating all your database interactions. It's the best version of Aqua Data Studio ever. We've even updated most of our underlying framework components to bring you better reliability and scalability. We listened to your feedback and made it our mission to optimize your user experience in order to achieve massive speed gains for Big Data, plenty of GUI enhancements, and an overall more responsive application. Either double-click the JAR file or execute the jar file from the command-line.įill in the connection properties and copy the connection string to the clipboard.Great news! We are excited to announce Aqua Data Studio 12.0, the latest version of our award-winning PostgreSQL database tool. Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.įor assistance in constructing the JDBC URL, use the connection string designer built into the SQL Server JDBC Driver.User: The name of the user authenticating to Azure.You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name." You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties: Database: The name of the SQL Server database.Ĭonnecting to Azure SQL Server and Azure Data Warehouse.Password: The password associated with the authenticating user.User: The username provided for authentication with SQL Server.Server: The name of the server running SQL Server.Connecting to Microsoft SQL ServerĬonnect to Microsoft SQL Server using the following properties: URL: Enter the JDBC URL, which starts with jdbc:sql: and is followed by a semicolon-separated list of connection properties. ![]() Driver: Enter the Driver's class name,.Driver Location: Click the Browse button and select the file, located in the lib subfolder of the installation directory.Name: Enter a name for the data source for example, SQL Server.Enter the following JDBC connection properties:.In the Register Server form, select the 'Generic - JDBC' connection.In Aqua Data Studio, select Register Server from the Servers menu.The SQL Server data source can then be accessed from Aqua Data Studio tools. You can use the connection manager to define connection properties and save them in a new JDBC data source. This article shows how to connect to SQL Server data through the connection manager and execute queries. The CData JDBC Driver for SQL Server integrates SQL Server data with wizards and analytics in IDEs like Aqua Data Studio.
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