Best Database Clients for Linux - Page 2

SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool. It is written in Java and should run on any operating system that provides a Java Runtime Environment. Its main focus is on running SQL scripts (either interactively or as a batch) and export/import features. Graphical query building or more advanced DBA tasks are not the focus and are not planned. Powerful export command to write text files (aka "CSV"), XML, HTML or SQL (including BLOB data). All user tables can be exported into a directory with a single command. Export files can be compressed "on-the-fly". Powerful text, XML and spreadsheet import. A set of files (including compressed files) can be imported from a directory with a single command. Foreign key constraints are detected to insert the data in the correct order. Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.

Modern database administration tool. Cross-platform MySQL and PostgreSQL GUI with data grid, schema builder, and interactive charts. Datazenit is a web-based database administration tool. It features a smart data grid, query builder, schema editor, live charts, and raw query editor with auto-complete. The goal is to build a modern and intelligent database tool that would increase productivity. The schema editor has been designed with developer productivity in mind. It is equipped with intelligent features similar to the ones you could find in an IDE. Users can choose to query data via a graphical user interface instead of a classic raw query editor. Query builder supports multiple conditions, sorting and more. Various chart styles can be used to create effective visualizations, like scatter, line, area, bar, and pie chart. Best of all, they can be shared or embedded. Enjoy an advanced data grid with different editors like text area, dropdown, checkbox, and a calendar.

View data relations directly in the document. Mingo will recognize document references and shows you a preview or lets you open the document with one click. Save your time by minimizing clicks and operations to get your work done. Bring all your important data together in a high-level overview. Create your own dashboard with the data you want to see. Mingo’s Aggregator is here to help. With its visual UI, you get a great overview of what the pipeline does, what the results at each step are and whether you have any errors. As you type, Aggregator provides autocomplete options, checks code validity and loads sample results for each stage. This way you see the immediate results, knowing whether your code does what you are expecting. If you are not sure about the proper use of commands, quick links to documentation are available.

MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections.

Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script. Navicat for MongoDB is designed to streamline your routine database tasks. The new interface is easy to access and understand -- giving you new ways to manage your MongoDB databases and making your work more efficient than ever. Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script.

Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data warehouses wherever they are, on your local computer or in the cloud. We recommend the user installer, which simplifies installations and updates and doesn't require Administrator privileges.

MonjaDB is a GUI client tool for MongoDB developed by JUMPERZ.NET. On a single MongoDB node, you can browse your databases, collections and documents. Single documents can easily be created, edited or removed.

RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.