![]() ![]() If you perform the same actions for an existing table, DataGrip adds the data to that table. If you drag a file into a schema or carry out the Import from File command for a schema, DataGrip creates a new table for the data that you import. To select a schema or a table, use Table and Target schema for all sources lists. You can select in what schema to create a table and whether to import data to a new table or an existing one. ![]() You can go through the files in the Sources pane. In the Import "file_name" File dialog, specify the data conversion settings for every file. ![]() Navigate to the files that contain delimiter-separated values, select them, and click Open. Import multiple CSV files into a database To mark the first row as a header, right-click the row in the Data Preview pane and select First Row Is Header.įor more information about data conversion settings, see Import File dialog. To select a schema or a table, use Table and Target schema lists. In the Import "file_name" File dialog, specify the data conversion settings and click Import. Navigate to the file that contains delimiter-separated values and double-click it. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click a schema or a table and select Import/Export | Import Data from File(s). Import delimiter-separated values into a database To see other options of how you can run an SQL file against a database, see Run files. If a script contains schema switching, you will see a warning ( ). To add files, click the Add button ( ) and navigate to files that you want to run. Script files: SQL files that you want to run. If you select a data source as a target, DataGrip displays a schema in which the script will be run. Target data source / schema: databases or schemas against which you want to run your database scripts. Select the settings for your run configuration. In the file browser window that opens, navigate to the SQL file that you want to run and click Open. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click a data source, or a schema and select SQL Scripts | Run SQL Script…. To learn how to add the SQL files that are stored on your machine to your project in DataGrip, refer to Attach a directory with SQL files. In addition to script files, you can import data from a CSV, TSV, or any other text files that contain delimiter-separated values. DataGrip has a broader approval, being mentioned in 29 company stacks & 40 developers stacks compared to MongoDB Compass, which is listed in 4 company stacks and 10 developer stacks.To import data from a script file, run the file as it is described in the Run files page. View utilization and manage your indexesĬomo, Betabrand, and SupplyAI are some of the popular companies that use DataGrip, whereas MongoDB Compass is used by 8villages, ChalkStreet, and MistNet.immediate insight into server status and query performance. ![]() On the other hand, MongoDB Compass provides the following key features: Some of the features offered by DataGrip are: View and optimize your query performance.ĭataGrip and MongoDB Compass can be primarily classified as "Database" tools. Interact with your data with full CRUD functionality. A cross-platform IDE that is aimed at DBAs and developers working with SQL databases MongoDB Compass: A GUI for MongoDB. DataGrip vs MongoDB Compass: What are the differences?ĭataGrip: A database IDE for professional SQL developers. ![]()
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