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

MapDB vs dbForge Studio for MySQL

OverviewComparisonAlternatives

Overview

dbForge Studio for MySQL
dbForge Studio for MySQL
Stacks434
Followers146
Votes1.1K
MapDB
MapDB
Stacks8
Followers49
Votes0

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

What is MapDB? Concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

What is 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.

MapDB and dbForge Studio for MySQL are primarily classified as "In-Memory Databases" and "Database" tools respectively.

Some of the features offered by MapDB are:

  • Concurrency
  • Writing database
  • Code duplication and not invented here

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

  • Data Analysis
  • Data Comparison and Sync
  • Data Editor

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Detailed Comparison

dbForge Studio for MySQL
dbForge Studio for MySQL
MapDB
MapDB

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.

MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

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
Concurrency; Writing database; Code duplication and not invented here; Does not integrate with default tools and defacto standards; Did not follow test driven development; Not enough performance testing. ...
Statistics
Stacks
434
Stacks
8
Followers
146
Followers
49
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
Presto
Presto
Clever Cloud
Clever Cloud
SignalFx
SignalFx
Datadog
Datadog
OpsDash
OpsDash
Actionhero
Actionhero

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

Redis

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

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.

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.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

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.

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