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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Galera Cluster vs Studio 3T

Galera Cluster vs Studio 3T

OverviewComparisonAlternatives

Overview

Galera Cluster
Galera Cluster
Stacks54
Followers102
Votes0
Studio 3T
Studio 3T
Stacks65
Followers153
Votes0

Galera Cluster vs Studio 3T: What are the differences?

Developers describe Galera Cluster as "A Multi-Master Cluster based on synchronous replication for MySQL". It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error. On the other hand, Studio 3T is detailed as "The professional MongoDB GUI". It's the only MongoDB tool that provides three ways to explore data - Table, Tree, and JSON View - alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, multi-format import and export, SQL query support, and more.

Galera Cluster can be classified as a tool in the "Database Cluster Management" category, while Studio 3T is grouped under "Database Tools".

Some of the features offered by Galera Cluster are:

  • True Multi-master Read and write to any node at any time
  • Synchronous Replication No slave lag, no data is lost at node crash
  • Tightly Coupled All nodes hold the same state

On the other hand, Studio 3T provides the following key features:

  • 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

Galera Cluster is an open source tool with 279 GitHub stars and 118 GitHub forks. Here's a link to Galera Cluster's open source repository on GitHub.

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Detailed Comparison

Galera Cluster
Galera Cluster
Studio 3T
Studio 3T

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

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.

True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better 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
Stacks
54
Stacks
65
Followers
102
Followers
153
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLFlow
SQLFlow
MariaDB
MariaDB
MongoDB
MongoDB

What are some alternatives to Galera Cluster, Studio 3T?

MongoDB

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

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

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

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

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

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

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

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

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

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.

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