1/12/2024 0 Comments Aqua data studio version![]() ![]() “Hosted databases offer cost savings and simplicity that are very attractive to companies,” says Gron. ![]() The team also worked to bring Aqua Data Studio’s full toolset to users of Apache Hive and the open source distributed database Apache Cassandra.Ĭonnecting to Microsoft’s relational database-as-a-service, SQL Database (Azure), is now also possible in version 14 of Aqua Data Studio using the same tools users have come to expect when connecting to Microsoft SQL Server. The team designed its own MongoSQL language specific to MongoDB, as well as a command line shell that places an interactive JavaScript MongoDB shell directly in Aqua Data Studio. “Our customers see huge value in these specialized databases that provide low cost and highly scalable solutions for their business analytics.”Īdding support for NoSQL required the AquaFold development team to develop creative ways to provide a relational “SQL” frontend to databases that explicitly do not support it. “Aqua Data Studio is the first to market with a multi-database GUI that also supports NoSQL, Cloud and Hadoop-based databases,” says AquaFold’s CEO, Niels Gron. NoSQL and cloud databases have grown in importance as both startups and large enterprises face the challenge of working with massive data sets. has released Aqua Data Studio 14, a major upgrade to its universal database query and management software, allowing users to design and administer the latest class of databases, including relational, embedded, NoSQL, and even databases hosted in the cloud. If you wish to run Aqua Data Studio with the Java Virtual Machine that already existed on your computer, run, Calif., Oct. Just like the installed version, it is possible to run datastudio-bundled.bat to run the Java Virtual Machine bundled within Aqua Data Studio. To launch Aqua Data Studio from the directory it has been extracted to, double click on datastudio.exe, ![]() You need to open the package file with Winzip or Windows' built in extraction tool and decompress into a selected directory. Running Aqua Data Studio without installing - Using the ZIP (without installer) versionĭownload the Compressed Zip (.zip) version from Customer Support Portalĭecompress/Unarchive/Unzip Package - Next step is to decompress and unarchive the package. If you wish to run Aqua Data Studio with the Java Virtual Machine that already existed on your computer, run the following from the command prompt:Ĭ:\>"Program Files\Aqua Data Studio 16.0 - 64bit\datastudio.bat"Ĭ:\>"Program Files (x86)\Aqua Data Studio 16.0 - 32bit\datastudio.bat" Launching from the command line and using a pre-installed Java Virtual Machine Windows 8.1 64-bit, Windows 7 64-bit, Windows Vista 64-bit and Windows XP Pro 64-bitĬ:\>"Program Files\Aqua Data Studio 16.0 - 64bit\datastudio-bundled.bat"ģ2-bit versions of Windows 8.1, Windows 7, Windows Vista, Windows XP and Windows 2000Ĭ:\>"Program Files (x86)\Aqua Data Studio 16.0 - 32bit\datastudio-bundled.bat" To launch Aqua Data Studio using its bundled Java Virtual Machine from the command prompt, run: Once it is installed, it can also be launched from the command line, using the java virtual machine pre-bundled with the application, or using the java virtual machine previously installed on the computer. This illustrates how it is possible to have a current version and an older version installed. Notice that there are two installations of Aqua Data Studio in the screenshot below. If you've already installed a previous version of Aqua Data Studio, it is best to install the newest version in a different directory (the installer will pick a new directory by default).Īqua Data Studio will automatically detect all of the settings of your previous installation, including the license information. Launch the installer - once the installer is downloaded, double click on it to begin the installation process. Running Aqua Data Studio without installingĭownloading the installer - The first step is to download the Windows Installer from Customer Support Portal Launching from the command line and using a preinstalled or custom Java Virtual Machine
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