![]() ![]() If you don’t, please feel free to reach out to us here!Īnd you are ready to start using your PlanetScale database in DataGrip! Creating a table in PlanetScale with DataGrip # You can Test Connection in the DataGrip module.PlanetScale will only connect to a database over SSL. Since DataGrip is JDBC-based, it uses your system’s root CA certificate, so you do not need to fill in the CA file or any other file locations. In the SSH/SSL tab, make sure to check the Use SSL box and set the Mode to Full Verification. I like to use the following format: (), which would look like ecommerce-store (development). This makes it easier to identify the different branches you are working with in DataGrip. We recommend a name that includes what branch you are connecting to in PlanetScale. You will also need to give your database a Name in DataGrip. Back in DataGrip, you will copy over the following information from your new password in the General tab: Navigate to the database and branch of your choice, select the Connect dropdown and Generate a new password. In PlanetScale, you can either create a new PlanetScale database or use an existing database. In DataGrip, go to File > New… > Data Source… > MySQL You will create a new Data Source in DataGrip and use the connection information provided by PlanetScale to have a secure connection. If you have connected to a database with DataGrip as a MySQL GUI before, this experience will likely be pretty familiar to you. Using DataGrip as a MySQL GUI for PlanetScale # Once you are ready to go live, non-blocking schema changes provide a schema change workflow that allows users to update database tables without locking or causing downtime for production databases. This enables experimenting with schemas in an isolated environment. Database Branches™ allow you to branch your database schemas like you branch your code. If you aren’t familiar with DataGrip, it is a popular, cross-platform IDE for databases that works nicely with PlanetScale databases.Īlongside DataGrip, you can manage your database changes easier with branching in PlanetScale. It's just that a paid app like DataGrip just does everything better.Connect your PlanetScale databases and their branches to manage and run queries from JetBrains DataGrip in a few small steps. You can get your feet wet and manage multiple different RDBMS' at once without much trouble. The "Database" tab actually identified several object types that DBeaver simply didn't such as warehouses, roles, and functionsĭBeaver is great for what it is. (Snowflake Specific) Better Database support - DataGrip for Snowflake has much better language and object support. Also, pushing and pulling via DG is far nicerīetter UI - Datagrip might be heavier on resources (RAM), but it's a much better experience for me as someone who comes from the Microsoft stack (where I use SSMS, VS/VSCode) with customization and overall look-and-feelīetter project support - This one isn't really much of a difference, but I like the way that DG handles project switching over DBeaver Here's a short list of reasons I switched (in no particular order)īetter GIT integration - Every time I update DBeaver, I have to reinstall my extensions. At that point I REALLY noticed the differences. Once I found out the DataGrip had support for it, I gave it a shot. I had a handful of reasons, but the primary reason why I used DBeaver to begin with was Snowflake support. ![]()
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