PostgreSQL Modeler vs Studio 3T

Overview

PostgreSQL Modeler

Stacks13

Followers32

Votes0

GitHub Stars3.4K

Forks404

Studio 3T

Stacks65

Followers153

Votes0

PostgreSQL Modeler vs Studio 3T: What are the differences?

# Introduction
In this comparison, we will analyze the key differences between PostgreSQL Modeler and Studio 3T.

1. **User Interface**: PostgreSQL Modeler offers a visually appealing and user-friendly interface with drag-and-drop functionality, making it easy for users to design and manage database schemas. On the other hand, Studio 3T provides a more technical interface tailored towards MongoDB users, focusing on query building and code generation. 
   
2. **Compatibility**: PostgreSQL Modeler is specifically designed for PostgreSQL databases, offering a wide range of features tailored to PostgreSQL users. Studio 3T, on the other hand, is a comprehensive tool that supports multiple databases such as MongoDB, SQL, and MySQL, making it a versatile option for users who work with different database systems. 

3. **Collaboration Tools**: PostgreSQL Modeler lacks built-in collaboration tools, making it challenging for teams to work together on database design projects. Studio 3T, on the other hand, offers features like sharing and version control, allowing teams to collaborate seamlessly on database schema design and development. 

4. **Pricing Model**: PostgreSQL Modeler typically follows a one-time purchase pricing model, where users pay upfront for the software. In contrast, Studio 3T offers a subscription-based pricing model with flexible plans based on the user's requirements, making it easier for organizations to scale their database management tools as needed.

5. **Query Building**: Studio 3T excels in query building functionalities, providing users with advanced tools for constructing and optimizing queries across various database systems. While PostgreSQL Modeler offers basic query building capabilities, it may not be as robust or user-friendly as Studio 3T in this aspect.

6. **Data Visualization**: Studio 3T allows users to visualize data through interactive charts and graphs, providing a more intuitive way to analyze and interpret database information. PostgreSQL Modeler, on the other hand, focuses primarily on database schema design and may not offer as many data visualization features as Studio 3T.

In Summary, PostgreSQL Modeler and Studio 3T differ in their user interface, compatibility with different databases, collaboration tools, pricing model, query building capabilities, and data visualization features.

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CLI (Node.js)

Manual

Detailed Comparison

PostgreSQL Modeler	Studio 3T
Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand.	It's the only MongoDB tool that provides three ways to explore data alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, import and export, SQL query support and more.
-	IntelliShell - Autocomplete queries, from JavaScript standard library functions down to field names, with Studio 3T’s built-in mongo shell; Visual Query Builder - Build queries by dragging and dropping fields with no mongo shell language required; In-Place Data Editing - Edit data in real-time by double-clicking a field; Query Code - Generate driver code in Java, JavaScript (Node.js), PHP, C#, and Python from MongoDB and SQL queries; Aggregation Editor - Build MongoDB aggregation queries stage by stage; SQL Query - Use SQL to query MongoDB, including joins; Import Wizard - Import data from JSON, CSV, BSON/mongodump, SQL, and another collection; Export Wizard - Export entire MongoDB collections or views, query results, or specific documents to CSV, JSON, BSON/mongodump, SQL, or another collection; SQL Import and Export - Migrate data from/to Oracle, Microsoft SQL Server, MySQL, and PostgreSQL; Table View -Explore collections in Studio 3T's spreadsheet view, which supports advanced features like showing embedded fields, stepping into array-valued columns, and hiding columns; Tree View - Explore collections in a hierarchical view; JSON View - Explore documents within a collection in JSON; Visual Explain - Visualize MongoDB explain() and see which stages MongoDB took to execute a query; Data Compare and Sync - Compare two collections side-by-side, analyze differences, and sync data; Schema Explorer - Visualize data distributions, find schema anomalies, and generate schema documentation in Word or CSV; GridFS Support - Store files larger than the document size limit of 16 MB
Statistics
GitHub Stars 3.4K	GitHub Stars -
GitHub Forks 404	GitHub Forks -
Stacks 13	Stacks 65
Followers 32	Followers 153
Votes 0	Votes 0
Integrations
No integrations available	MongoDB

What are some alternatives to PostgreSQL Modeler, Studio 3T?

Docker

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

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LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Related Comparisons

PostgreSQL Modeler vs Studio 3T: What are the differences?

# Introduction
In this comparison, we will analyze the key differences between PostgreSQL Modeler and Studio 3T.

1. **User Interface**: PostgreSQL Modeler offers a visually appealing and user-friendly interface with drag-and-drop functionality, making it easy for users to design and manage database schemas. On the other hand, Studio 3T provides a more technical interface tailored towards MongoDB users, focusing on query building and code generation. 
   
2. **Compatibility**: PostgreSQL Modeler is specifically designed for PostgreSQL databases, offering a wide range of features tailored to PostgreSQL users. Studio 3T, on the other hand, is a comprehensive tool that supports multiple databases such as MongoDB, SQL, and MySQL, making it a versatile option for users who work with different database systems. 

3. **Collaboration Tools**: PostgreSQL Modeler lacks built-in collaboration tools, making it challenging for teams to work together on database design projects. Studio 3T, on the other hand, offers features like sharing and version control, allowing teams to collaborate seamlessly on database schema design and development. 

4. **Pricing Model**: PostgreSQL Modeler typically follows a one-time purchase pricing model, where users pay upfront for the software. In contrast, Studio 3T offers a subscription-based pricing model with flexible plans based on the user's requirements, making it easier for organizations to scale their database management tools as needed.

5. **Query Building**: Studio 3T excels in query building functionalities, providing users with advanced tools for constructing and optimizing queries across various database systems. While PostgreSQL Modeler offers basic query building capabilities, it may not be as robust or user-friendly as Studio 3T in this aspect.

6. **Data Visualization**: Studio 3T allows users to visualize data through interactive charts and graphs, providing a more intuitive way to analyze and interpret database information. PostgreSQL Modeler, on the other hand, focuses primarily on database schema design and may not offer as many data visualization features as Studio 3T.

PostgreSQL Modeler vs Studio 3T

Overview