SQLyog vs Studio 3T
Overview
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Detailed Comparison
It is the most complete MySQL management, GUI solution for DBAs & Devops with powertools like scheduled backups, SSH and HTTP tunneling. | 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. |
Sql;Easy;GUI;Performance | 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 986 | GitHub Stars - |
GitHub Forks 165 | GitHub Forks - |
Stacks 22 | Stacks 65 |
Followers 48 | Followers 153 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to SQLyog, Studio 3T?
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
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
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
