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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Dataform vs dbForge Studio for MySQL

Dataform vs dbForge Studio for MySQL

OverviewComparisonAlternatives

Overview

dbForge Studio for MySQL
dbForge Studio for MySQL
Stacks434
Followers146
Votes1.1K
Dataform
Dataform
Stacks818
Followers53
Votes0
GitHub Stars934
Forks188

Dataform vs dbForge Studio for MySQL: What are the differences?

Dataform: A framework for managing SQL based data operations. Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure; dbForge Studio for MySQL: The universal MySQL and MariaDB client for database management. 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.

Dataform and dbForge Studio for MySQL can be categorized as "Database" tools.

Some of the features offered by Dataform are:

  • Version ontrol
  • Scheduling
  • Notifications and logging

On the other hand, dbForge Studio for MySQL provides the following key features:

  • Data Analysis
  • Data Comparison and Sync
  • Data Editor

Dataform is an open source tool with 80 GitHub stars and 8 GitHub forks. Here's a link to Dataform's open source repository on GitHub.

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Detailed Comparison

dbForge Studio for MySQL
dbForge Studio for MySQL
Dataform
Dataform

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.

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

Data Analysis ; Data Comparison and Sync ; Data Editor ; Database Backup. Dump databases in SQL format and schedule ; Regular MySQL database backups; Database Explorer ; Flat Table Editor; Object Editors ; Database Projects; Query Builder
Version ontrol; Scheduling; Notifications and logging; Assertions; Web based development environment; Alerting; Incremental tables; Packages; Reusable code snippets; Unit tests; Data tests
Statistics
GitHub Stars
-
GitHub Stars
934
GitHub Forks
-
GitHub Forks
188
Stacks
434
Stacks
818
Followers
146
Followers
53
Votes
1.1K
Votes
0
Pros & Cons
Pros
  • 66
    Data Generator
  • 66
    Intelligent SQL Coding
  • 65
    Visual Query Builder
  • 64
    MySQL Debugger
  • 63
    Database Refactoring
No community feedback yet
Integrations
Amazon RDS
Amazon RDS
MySQL
MySQL
MariaDB
MariaDB
Heroku
Heroku
RocksDB
RocksDB
Galera Cluster
Galera Cluster
Amazon Aurora
Amazon Aurora
Windows
Windows
Sphinx
Sphinx
Azure Database for MySQL
Azure Database for MySQL
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
GitHub
GitHub
JavaScript
JavaScript
PostgreSQL
PostgreSQL
Snowflake
Snowflake
Git
Git

What are some alternatives to dbForge Studio for MySQL, Dataform?

dbForge Studio for Oracle

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

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.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

dbForge Studio for SQL Server

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

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

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

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

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.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

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