Databases - GUI clients
GUI Clients to work with Databases
Ones I’ve used in the past and worked well.
RDBMS
- JetBrains Datagrip
- DBeaver
- DbVisualizer
- MySql workbench
- pgadmin4
- DataGrip (IntelliJ tool)
MongoDB clients
- Studio 3T
- MongoDB Compass
It looks like people like Studio 3T (free version) more than MongoDB Compass.
But using Studio 3T is a hassle. It wouldn’t even load without asking for a license. If you need to disable it, you have to register using an email address.
MongoDB Compass looks bland compared to Studio 3T. But it wouldn’t ask for a license or your email address.
MongoDB Compass vs Studio 3T: What are the differences?
https://stackshare.io/stackups/mongodb-compass-vs-studio-3t
In the world of MongoDB, there are two popular GUI tools for managing databases - MongoDB Compass and Studio 3T. Here are some key differences that set them apart from each other.
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Interface and User Experience
MongoDB Compass provides a clean and intuitive interface with a simplified user experience. It focuses on simplicity and ease of use, making it suitable for those new to MongoDB. On the other hand, Studio 3T offers a more feature-rich and customizable interface, catering to advanced MongoDB users who require greater control and flexibility.
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Query Builder
MongoDB Compass offers a visual query builder that allows users to construct queries using a graphical interface. This feature simplifies the query creation process and makes it easier for beginners to interact with the database. Studio 3T also provides a query builder, but it offers more advanced options and functionalities, making it suitable for complex query scenarios.
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Data Import and Export
While both MongoDB Compass and Studio 3T support importing and exporting data, Studio 3T offers more options and control over the process. It allows users to import data from various sources, including CSV, JSON, SQL, and MongoDB, with advanced options for data mapping and transformations. Additionally, Studio 3T supports exporting data to different formats like CSV, JSON, and SQL.
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Schema Analysis and Visualization
Studio 3T provides a comprehensive schema analysis and visualization tool that helps users understand the structure of their MongoDB collections. It offers features like schema tree view, collection relationships, and automatic detection of embedded documents and arrays. MongoDB Compass, on the other hand, provides a basic schema analysis functionality, but it lacks some of the advanced visualization features offered by Studio 3T.
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Aggregation Pipeline Builder
Studio 3T includes an aggregation pipeline builder, allowing users to create complex aggregation queries using a visual interface. This feature simplifies the process of constructing and testing complex data transformations and analytics. MongoDB Compass, however, does not offer a built-in aggregation pipeline builder, requiring users to write aggregation queries manually.
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Data Visualization and Charting
Studio 3T offers a robust data visualization and charting tool that allows users to create interactive charts and visualizations based on their MongoDB data. This feature enables users to gain insights and analyze their data in a visual format. MongoDB Compass, on the contrary, does not provide any built-in data visualization or charting capabilities.
In summary, MongoDB Compass provides a simpler and more user-friendly interface, while Studio 3T offers advanced features like a comprehensive query builder, extensive data import and export options, powerful schema analysis and visualization, aggregation pipeline builder, as well as data visualization and charting capabilities. Depending on the level of expertise and requirements, users can choose the tool that best suits their needs.
Generate entity classes from an existing Table or View
- DataGrip
- https://www.jetbrains.com/help/datagrip/generating-code.html
- Table -> Tools -> Scripted Extensions -> Generate POJOs.groovy
- There may be ways to do it from IntelliJ. But I didn’t try them.