https://dbgate.io/dbgate-classic/working-with-data/index.html Everything you do with the actual rows in your database lives here. Browse and edit table data in a fast, Excel-like grid, narrow it down with powerful filters, and navigate between related tables through foreign keys and master/detail views. When you need more than a grid, turn results into charts or maps, ask the AI-powered database chat, move data with export/import, or keep local NDJSON archives of it. Data browser & editor - the grid view, inline editing and related-data navigation Data filtering - filter expression syntax Export & import - move data in and out of tables Charts - visualize query results Maps - show GEO data on a map Perspectives - nested, read-only views over complex related data AI features - database chat, SQL assistant and explain error (Premium) Advanced data tools - archives, data deployer and data replicator Hugo en-us https://dbgate.io/dbgate-classic/working-with-data/data-browser/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/data-browser/index.html The data browser is DbGate’s core view for looking at and editing table data. Open any table, view or collection to get a fast, Excel-like grid. This page covers browsing, editing and navigating related data; for filter expressions see Data filtering. Browsing data Keyboard navigation - move around the grid with the arrow keys, like in a spreadsheet. Sort - click a column header to sort by that column. Filter - filter rows using the filter row above the grid; see Data filtering for the full expression syntax. Column manager - find columns by name and hide the ones you don’t need. Advanced copy - copy selected cells as CSV, YAML, SQL INSERTs or MongoDB inserts. Editing data Data editing works directly in the grid: https://dbgate.io/dbgate-classic/working-with-data/data-filtering/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/data-filtering/index.html DbGate has powerful data filtering engine, allowing both very easy data filtering or complex conditions. Data filters can used in many places in DbGate, but the most common place is filtering data grid. Filters are filled with background: Green background - filter is correct and is applied Red background - there is error in filter expression, filter is ignored You have several options, how to create filter: https://dbgate.io/dbgate-classic/working-with-data/export-import/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/export-import/index.html DbGate has flexible export/import system allowing both simple one-click exports or complex custom setup. Simple one-click export If you don’t need any configuration, you just need to export data to file, you could use simple export. There are several ways, how to invoke simple export: Table/view/collection context menu, Export Table data, “Export” context menu or button. Filters are applied also to exported data Query result, “Export” context menu or button In desktop application, you could directly save exported file. https://dbgate.io/dbgate-classic/working-with-data/charts/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/charts/index.html With DbGate, you could use chart for visualization of your SQL queries. Simply execute query, in chart is auto-detected, the tab “Chart 1” will appear. If you have more query results, there could be more charts. If no chart is autodetected, but you would like to create some chart from your query results, right click on your query result data and choose “Open chart”. https://dbgate.io/dbgate-classic/working-with-data/maps/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/maps/index.html DbGate supports showing geographic data in maps. Supported map sources MySQL: All spatial columns MSSQL: GEOGRAPHY columns PostGIS: GEOGRAPHY columns All data sources: coordinates stored in latitude/longitude columns Invoking map view Map view is invoked from data grid. At first, select cells with desired geographic data. The simplest way is to select GEOGRAPHY or GEOMETRY cell. You could also select multiple rows. Then, click to Cell data widget. You should see map in cell data widget. https://dbgate.io/dbgate-classic/working-with-data/perspectives/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/perspectives/index.html Perspective is readonly view of complex nested data. It resembles reports, but perspectives are created simply by adding data to view. You could use perspective designer, which allows you to join data following other relations than foreign keys. Perspectives can easily join data together, and show groups. Create perspective Perspectives could be created from SQL tables and views (MongoDB collections are not yet supported, but this support is planned). Use context menu of table/view, “Open perspective”. https://dbgate.io/dbgate-classic/working-with-data/ai-features/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/ai-features/index.html DbGate includes several AI-powered features (Premium and Team Premium). They are available to all Premium users with no API keys or configuration - DbGate uses its own AI gateway, which forwards requests to the LLM provider. Database chat Database chat is an AI chatbot that understands both your database schema and its data. Natural conversation - ask questions in any natural language and get answers or ready-to-run SQL. Context-aware - the model knows your schema and (with permission) live data, so it suggests correct joins, filters and aggregations. Iterative - refine with commands like “add a date filter” or “group by customer” and the query updates instantly. Charts - ask for a bar, pie or line chart built from the results. Consultant mode - it can analyze stored procedures and views, so you can ask things like “Explain procedure X” or “Which tables are affected by procedure Y”. DbGate shows which objects were analyzed. Executing SQL - safety first Database chat can run SQL to answer questions. You choose how: https://dbgate.io/dbgate-classic/working-with-data/advanced-data-tools/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://dbgate.io/dbgate-classic/working-with-data/advanced-data-tools/index.html DbGate offers several advanced data tools suitable for specific scenarios: Data archives - table data stored in folders (on NDJSON format) on your local computer. You could browse and edit this data in the similar way as browsing tables in database Data deployer - visually compare and synchronize data between data archive and real database Data replicator - replicate your data from data archive to database, suitable for run from DbGate app or from command line